Research Project: Bank Data
Srishti Puri
3/24/2021
Research Question: What makes a client subscribe for a term deposit?
There are 21 variables provided in the Bank data set, both continuous and categorical variables. The column “y” shows ‘yes’ if a client subscribes and has ‘no’ if they do not.
To profile the client list of the data set we calculated the frequencies of the categorical variables, 10 in total.
The relationship between the categorical variables by ‘y’ was determined using chi-square tests. For the purpose of accurately predicting the effect of the variable on subscriptions, the ‘yes’ and ‘no’ were considered in the form of relative proportions.
Of the 10, 8 categorical variables were found to be significantly related with the variable “y” and the results were plotted on barplots.
The relationship of continuous variables with the variable ‘y’ was tested through T-test and explained using scatterplots.
Results and Recommendations
The company is recommended to target more students and retired clients.
The company is recommended to target people with marital status either unknown, single or divorced.
The company should target clients with a university degree or who’s education level is unknown.
The company should contact clients with no default credit.
The company should contact clients on their cellular devices. Also, the clients contacted should be spoken to for a longer duration.
The company is recommended to explore if contacting clients during the break time, such as spring break or winter break, yields higher subscription.
Contacting clients mid week, such as, on Tuesday, Wednesday and Thursday is recommended.
The company is recommended to contact clients who were categorised as, “success” as well as “failure” in the previous campaign.
The company should put a limit to the times a client is contacted as increasing frequency in contact made will not necessarily yield a higher rate in term deposit subscription.
The company is recommended to contact clients from the previous campaigns greater number of times. Also, to contact clients sooner after the last contact made from the previous campaigns.
Lesser employee variation rate will yield higher term deposits.
Lower Euribor rate will yield higher term deposits.
Outcome by the Dataset
##
## no yes
## 0.8873458 0.1126542
- Data set predicts the outcome to be skewed towards ‘no’ with over 88%.
Exploratory Data Analysis
Univariate Analysis
Profiling the client list.
- 25% clients are admin, 23% blue-collar and 16% are technicians
## var frequency percentage cumulative_perc
## 1 admin. 10422 25.30 25.30
## 2 blue-collar 9254 22.47 47.77
## 3 technician 6743 16.37 64.14
## 4 services 3969 9.64 73.78
## 5 management 2924 7.10 80.88
## 6 retired 1720 4.18 85.06
## 7 entrepreneur 1456 3.54 88.60
## 8 self-employed 1421 3.45 92.05
## 9 housemaid 1060 2.57 94.62
## 10 unemployed 1014 2.46 97.08
## 11 student 875 2.12 99.20
## 12 unknown 330 0.80 100.00
Marital Status
- 60% are married and 28% single.
## var frequency percentage cumulative_perc
## 1 married 24928 60.52 60.52
## 2 single 11568 28.09 88.61
## 3 divorced 4612 11.20 99.81
## 4 unknown 80 0.19 100.00
Education Level
- Primary education, i.e. basic 4years and basic 6years comprise of 10% and 6% respectively.
- Secondary education, i.e. basic 9years and high school comprise of 15% and 23% respectively.
- Tertiary education, i.e. professional course and university degree comprise of 12% and 29% respectively.
- Illiterates comprise of 0.04 percent and 4.2% have an unknown level of education.
## var frequency percentage cumulative_perc
## 1 university.degree 12168 29.54 29.54
## 2 high.school 9515 23.10 52.64
## 3 basic.9y 6045 14.68 67.32
## 4 professional.course 5243 12.73 80.05
## 5 basic.4y 4176 10.14 90.19
## 6 basic.6y 2292 5.56 95.75
## 7 unknown 1731 4.20 99.95
## 8 illiterate 18 0.04 100.00
Default in Credit
- 79% have no credit in default and 20% are unknown.
## var frequency percentage cumulative_perc
## 1 no 32588 79.12 79.12
## 2 unknown 8597 20.87 99.99
## 3 yes 3 0.01 100.00
Housing Loan
- 52% have a housing loan, 45% do not.
## var frequency percentage cumulative_perc
## 1 yes 21576 52.38 52.38
## 2 no 18622 45.21 97.59
## 3 unknown 990 2.40 100.00
Bank Loan
- 82% do not have a bank loan but 15% do.
## var frequency percentage cumulative_perc
## 1 no 33950 82.43 82.43
## 2 yes 6248 15.17 97.60
## 3 unknown 990 2.40 100.00
Month
- 33% were contacted in May and 17% in July.
## var frequency percentage cumulative_perc
## 1 may 13769 33.43 33.43
## 2 jul 7174 17.42 50.85
## 3 aug 6178 15.00 65.85
## 4 jun 5318 12.91 78.76
## 5 nov 4101 9.96 88.72
## 6 apr 2632 6.39 95.11
## 7 oct 718 1.74 96.85
## 8 sep 570 1.38 98.23
## 9 mar 546 1.33 99.56
## 10 dec 182 0.44 100.00
Day of Week
- Most clients, 21%, were contacted on a Thursday.
## var frequency percentage cumulative_perc
## 1 thu 8623 20.94 20.94
## 2 mon 8514 20.67 41.61
## 3 wed 8134 19.75 61.36
## 4 tue 8090 19.64 81.00
## 5 fri 7827 19.00 100.00
Poutcome
- 86% of the clients were found to be nonexistent, 10% were failure and 3% were a success.
## var frequency percentage cumulative_perc
## 1 nonexistent 35563 86.34 86.34
## 2 failure 4252 10.32 96.66
## 3 success 1373 3.33 100.00
Chi Square Test
Job and Yes
The relationship of the variables: job and yes is significant.
Students, retired and unemployed show the highest rate of term deposit subscription.
##
##
## Cell Contents
## |-------------------------|
## | N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 41188
##
##
## | bank$y
## bank$job | no | yes | Row Total |
## --------------|-----------|-----------|-----------|
## admin. | 9070 | 1352 | 10422 |
## | 3.423 | 26.961 | |
## | 0.870 | 0.130 | 0.253 |
## | 0.248 | 0.291 | |
## | 0.220 | 0.033 | |
## --------------|-----------|-----------|-----------|
## blue-collar | 8616 | 638 | 9254 |
## | 19.926 | 156.951 | |
## | 0.931 | 0.069 | 0.225 |
## | 0.236 | 0.138 | |
## | 0.209 | 0.015 | |
## --------------|-----------|-----------|-----------|
## entrepreneur | 1332 | 124 | 1456 |
## | 1.240 | 9.767 | |
## | 0.915 | 0.085 | 0.035 |
## | 0.036 | 0.027 | |
## | 0.032 | 0.003 | |
## --------------|-----------|-----------|-----------|
## housemaid | 954 | 106 | 1060 |
## | 0.191 | 1.507 | |
## | 0.900 | 0.100 | 0.026 |
## | 0.026 | 0.023 | |
## | 0.023 | 0.003 | |
## --------------|-----------|-----------|-----------|
## management | 2596 | 328 | 2924 |
## | 0.001 | 0.006 | |
## | 0.888 | 0.112 | 0.071 |
## | 0.071 | 0.071 | |
## | 0.063 | 0.008 | |
## --------------|-----------|-----------|-----------|
## retired | 1286 | 434 | 1720 |
## | 37.814 | 297.849 | |
## | 0.748 | 0.252 | 0.042 |
## | 0.035 | 0.094 | |
## | 0.031 | 0.011 | |
## --------------|-----------|-----------|-----------|
## self-employed | 1272 | 149 | 1421 |
## | 0.097 | 0.767 | |
## | 0.895 | 0.105 | 0.035 |
## | 0.035 | 0.032 | |
## | 0.031 | 0.004 | |
## --------------|-----------|-----------|-----------|
## services | 3646 | 323 | 3969 |
## | 4.375 | 34.458 | |
## | 0.919 | 0.081 | 0.096 |
## | 0.100 | 0.070 | |
## | 0.089 | 0.008 | |
## --------------|-----------|-----------|-----------|
## student | 600 | 275 | 875 |
## | 40.090 | 315.775 | |
## | 0.686 | 0.314 | 0.021 |
## | 0.016 | 0.059 | |
## | 0.015 | 0.007 | |
## --------------|-----------|-----------|-----------|
## technician | 6013 | 730 | 6743 |
## | 0.147 | 1.156 | |
## | 0.892 | 0.108 | 0.164 |
## | 0.165 | 0.157 | |
## | 0.146 | 0.018 | |
## --------------|-----------|-----------|-----------|
## unemployed | 870 | 144 | 1014 |
## | 0.985 | 7.758 | |
## | 0.858 | 0.142 | 0.025 |
## | 0.024 | 0.031 | |
## | 0.021 | 0.003 | |
## --------------|-----------|-----------|-----------|
## unknown | 293 | 37 | 330 |
## | 0.000 | 0.001 | |
## | 0.888 | 0.112 | 0.008 |
## | 0.008 | 0.008 | |
## | 0.007 | 0.001 | |
## --------------|-----------|-----------|-----------|
## Column Total | 36548 | 4640 | 41188 |
## | 0.887 | 0.113 | |
## --------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 961.2424 d.f. = 11 p = 4.189763e-199
##
##
##
Marital and Yes
##
##
## Cell Contents
## |-------------------------|
## | N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 41188
##
##
## | bank$y
## bank$marital | no | yes | Row Total |
## -------------|-----------|-----------|-----------|
## divorced | 4136 | 476 | 4612 |
## | 0.464 | 3.652 | |
## | 0.897 | 0.103 | 0.112 |
## | 0.113 | 0.103 | |
## | 0.100 | 0.012 | |
## -------------|-----------|-----------|-----------|
## married | 22396 | 2532 | 24928 |
## | 3.450 | 27.174 | |
## | 0.898 | 0.102 | 0.605 |
## | 0.613 | 0.546 | |
## | 0.544 | 0.061 | |
## -------------|-----------|-----------|-----------|
## single | 9948 | 1620 | 11568 |
## | 9.778 | 77.021 | |
## | 0.860 | 0.140 | 0.281 |
## | 0.272 | 0.349 | |
## | 0.242 | 0.039 | |
## -------------|-----------|-----------|-----------|
## unknown | 68 | 12 | 80 |
## | 0.126 | 0.990 | |
## | 0.850 | 0.150 | 0.002 |
## | 0.002 | 0.003 | |
## | 0.002 | 0.000 | |
## -------------|-----------|-----------|-----------|
## Column Total | 36548 | 4640 | 41188 |
## | 0.887 | 0.113 | |
## -------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 122.6552 d.f. = 3 p = 2.068015e-26
##
##
##
Education and Yes
The relationship of the variables: education and yes is significant.
Although, the proportion of term deposit subscriptions shows the highest under ‘illiterate’, it is not an accurate predictor because of an extremely small sample of 4 deposits only.
Ergo, it is safe to rely on: university degree and unknown, to conclude that subscribers with higher education and of those with unknown education level tend towards depositing higher rate of term deposits.
##
##
## Cell Contents
## |-------------------------|
## | N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 41188
##
##
## | bank$y
## bank$education | no | yes | Row Total |
## --------------------|-----------|-----------|-----------|
## basic.4y | 3748 | 428 | 4176 |
## | 0.486 | 3.829 | |
## | 0.898 | 0.102 | 0.101 |
## | 0.103 | 0.092 | |
## | 0.091 | 0.010 | |
## --------------------|-----------|-----------|-----------|
## basic.6y | 2104 | 188 | 2292 |
## | 2.423 | 19.088 | |
## | 0.918 | 0.082 | 0.056 |
## | 0.058 | 0.041 | |
## | 0.051 | 0.005 | |
## --------------------|-----------|-----------|-----------|
## basic.9y | 5572 | 473 | 6045 |
## | 8.065 | 63.527 | |
## | 0.922 | 0.078 | 0.147 |
## | 0.152 | 0.102 | |
## | 0.135 | 0.011 | |
## --------------------|-----------|-----------|-----------|
## high.school | 8484 | 1031 | 9515 |
## | 0.198 | 1.561 | |
## | 0.892 | 0.108 | 0.231 |
## | 0.232 | 0.222 | |
## | 0.206 | 0.025 | |
## --------------------|-----------|-----------|-----------|
## illiterate | 14 | 4 | 18 |
## | 0.244 | 1.918 | |
## | 0.778 | 0.222 | 0.000 |
## | 0.000 | 0.001 | |
## | 0.000 | 0.000 | |
## --------------------|-----------|-----------|-----------|
## professional.course | 4648 | 595 | 5243 |
## | 0.004 | 0.032 | |
## | 0.887 | 0.113 | 0.127 |
## | 0.127 | 0.128 | |
## | 0.113 | 0.014 | |
## --------------------|-----------|-----------|-----------|
## university.degree | 10498 | 1670 | 12168 |
## | 8.292 | 65.317 | |
## | 0.863 | 0.137 | 0.295 |
## | 0.287 | 0.360 | |
## | 0.255 | 0.041 | |
## --------------------|-----------|-----------|-----------|
## unknown | 1480 | 251 | 1731 |
## | 2.041 | 16.079 | |
## | 0.855 | 0.145 | 0.042 |
## | 0.040 | 0.054 | |
## | 0.036 | 0.006 | |
## --------------------|-----------|-----------|-----------|
## Column Total | 36548 | 4640 | 41188 |
## | 0.887 | 0.113 | |
## --------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 193.1059 d.f. = 7 p = 3.305189e-38
##
##
##
Default in Credit and Yes
- The relationship of the variables: default in credit and yes is significant.
- The clients with no credit in default tend to deposit higher term deposits.
##
##
## Cell Contents
## |-------------------------|
## | N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 41188
##
##
## | bank$y
## bank$default | no | yes | Row Total |
## -------------|-----------|-----------|-----------|
## no | 28391 | 4197 | 32588 |
## | 9.562 | 75.315 | |
## | 0.871 | 0.129 | 0.791 |
## | 0.777 | 0.905 | |
## | 0.689 | 0.102 | |
## -------------|-----------|-----------|-----------|
## unknown | 8154 | 443 | 8597 |
## | 36.198 | 285.122 | |
## | 0.948 | 0.052 | 0.209 |
## | 0.223 | 0.095 | |
## | 0.198 | 0.011 | |
## -------------|-----------|-----------|-----------|
## yes | 3 | 0 | 3 |
## | 0.043 | 0.338 | |
## | 1.000 | 0.000 | 0.000 |
## | 0.000 | 0.000 | |
## | 0.000 | 0.000 | |
## -------------|-----------|-----------|-----------|
## Column Total | 36548 | 4640 | 41188 |
## | 0.887 | 0.113 | |
## -------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 406.5775 d.f. = 2 p = 5.161958e-89
##
##
##
Month and Yes
- The relationship between the variables: month and yes is significant.
- Clients contacted in the months of March and December tend to towards higher rate of term deposits.
- Perhaps, it will be interesting to hypothesize if contacting clients during the break time, such as spring break or winter break, yields higher subscription.
##
##
## Cell Contents
## |-------------------------|
## | N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 41188
##
##
## | bank$y
## bank$month | no | yes | Row Total |
## -------------|-----------|-----------|-----------|
## apr | 2093 | 539 | 2632 |
## | 25.178 | 198.321 | |
## | 0.795 | 0.205 | 0.064 |
## | 0.057 | 0.116 | |
## | 0.051 | 0.013 | |
## -------------|-----------|-----------|-----------|
## aug | 5523 | 655 | 6178 |
## | 0.306 | 2.413 | |
## | 0.894 | 0.106 | 0.150 |
## | 0.151 | 0.141 | |
## | 0.134 | 0.016 | |
## -------------|-----------|-----------|-----------|
## dec | 93 | 89 | 182 |
## | 29.052 | 228.836 | |
## | 0.511 | 0.489 | 0.004 |
## | 0.003 | 0.019 | |
## | 0.002 | 0.002 | |
## -------------|-----------|-----------|-----------|
## jul | 6525 | 649 | 7174 |
## | 3.980 | 31.353 | |
## | 0.910 | 0.090 | 0.174 |
## | 0.179 | 0.140 | |
## | 0.158 | 0.016 | |
## -------------|-----------|-----------|-----------|
## jun | 4759 | 559 | 5318 |
## | 0.341 | 2.683 | |
## | 0.895 | 0.105 | 0.129 |
## | 0.130 | 0.120 | |
## | 0.116 | 0.014 | |
## -------------|-----------|-----------|-----------|
## mar | 270 | 276 | 546 |
## | 94.958 | 747.959 | |
## | 0.495 | 0.505 | 0.013 |
## | 0.007 | 0.059 | |
## | 0.007 | 0.007 | |
## -------------|-----------|-----------|-----------|
## may | 12883 | 886 | 13769 |
## | 36.210 | 285.214 | |
## | 0.936 | 0.064 | 0.334 |
## | 0.352 | 0.191 | |
## | 0.313 | 0.022 | |
## -------------|-----------|-----------|-----------|
## nov | 3685 | 416 | 4101 |
## | 0.581 | 4.579 | |
## | 0.899 | 0.101 | 0.100 |
## | 0.101 | 0.090 | |
## | 0.089 | 0.010 | |
## -------------|-----------|-----------|-----------|
## oct | 403 | 315 | 718 |
## | 86.028 | 677.617 | |
## | 0.561 | 0.439 | 0.017 |
## | 0.011 | 0.068 | |
## | 0.010 | 0.008 | |
## -------------|-----------|-----------|-----------|
## sep | 314 | 256 | 570 |
## | 72.723 | 572.818 | |
## | 0.551 | 0.449 | 0.014 |
## | 0.009 | 0.055 | |
## | 0.008 | 0.006 | |
## -------------|-----------|-----------|-----------|
## Column Total | 36548 | 4640 | 41188 |
## | 0.887 | 0.113 | |
## -------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 3101.149 d.f. = 9 p = 0
##
##
##
Day of Week and Yes
- The relationship of variables day of week and yes is significant.
- Clients contacted mid week, such as, on Tuesday, Wednesday and Thursday tend toward higher term deposits.
##
##
## Cell Contents
## |-------------------------|
## | N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 41188
##
##
## | bank$y
## bank$day_of_week | no | yes | Row Total |
## -----------------|-----------|-----------|-----------|
## fri | 6981 | 846 | 7827 |
## | 0.184 | 1.449 | |
## | 0.892 | 0.108 | 0.190 |
## | 0.191 | 0.182 | |
## | 0.169 | 0.021 | |
## -----------------|-----------|-----------|-----------|
## mon | 7667 | 847 | 8514 |
## | 1.664 | 13.111 | |
## | 0.901 | 0.099 | 0.207 |
## | 0.210 | 0.183 | |
## | 0.186 | 0.021 | |
## -----------------|-----------|-----------|-----------|
## thu | 7578 | 1045 | 8623 |
## | 0.708 | 5.574 | |
## | 0.879 | 0.121 | 0.209 |
## | 0.207 | 0.225 | |
## | 0.184 | 0.025 | |
## -----------------|-----------|-----------|-----------|
## tue | 7137 | 953 | 8090 |
## | 0.241 | 1.901 | |
## | 0.882 | 0.118 | 0.196 |
## | 0.195 | 0.205 | |
## | 0.173 | 0.023 | |
## -----------------|-----------|-----------|-----------|
## wed | 7185 | 949 | 8134 |
## | 0.148 | 1.165 | |
## | 0.883 | 0.117 | 0.197 |
## | 0.197 | 0.205 | |
## | 0.174 | 0.023 | |
## -----------------|-----------|-----------|-----------|
## Column Total | 36548 | 4640 | 41188 |
## | 0.887 | 0.113 | |
## -----------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 26.14494 d.f. = 4 p = 2.958482e-05
##
##
##
Poutcome and Yes
- The relationship between the variables: poutcome and yes is significant.
- Clients who were categorised as, “success” in the previous campaign tend toward higher rate of term deposits.
- It is interesting to note that approximatelt 15% of those categorised as a “failure” in the previous campaign, also, made term deposits.
##
##
## Cell Contents
## |-------------------------|
## | N |
## | Chi-square contribution |
## | N / Row Total |
## | N / Col Total |
## | N / Table Total |
## |-------------------------|
##
##
## Total Observations in Table: 41188
##
##
## | bank$y
## bank$poutcome | no | yes | Row Total |
## --------------|-----------|-----------|-----------|
## failure | 3647 | 605 | 4252 |
## | 4.207 | 33.141 | |
## | 0.858 | 0.142 | 0.103 |
## | 0.100 | 0.130 | |
## | 0.089 | 0.015 | |
## --------------|-----------|-----------|-----------|
## nonexistent | 32422 | 3141 | 35563 |
## | 23.728 | 186.899 | |
## | 0.912 | 0.088 | 0.863 |
## | 0.887 | 0.677 | |
## | 0.787 | 0.076 | |
## --------------|-----------|-----------|-----------|
## success | 479 | 894 | 1373 |
## | 448.651 | 3533.897 | |
## | 0.349 | 0.651 | 0.033 |
## | 0.013 | 0.193 | |
## | 0.012 | 0.022 | |
## --------------|-----------|-----------|-----------|
## Column Total | 36548 | 4640 | 41188 |
## | 0.887 | 0.113 | |
## --------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 4230.524 d.f. = 2 p = 0
##
##
##
Age Distribution
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 17.00 32.00 38.00 40.02 47.00 98.00
Bulk of clients are between age 32 (1st quartile) and age 47 (3rd quartile) with mean lying at 40.
The mean difference between the age group of those who sub subscribed to a term deposit to those who didn’t is extremely small.
Therefore, the company is recommended to not rely entirely on age as the deciding factor to profile the client list for future campaigns.
Age vs Subscription
Variables: age and yes are significantly related.
The bell curve is skewed to right, positive skewness, with the peak highest at age 30.
Most clients that subscribed are between age 20-50. Although, outliers beyond age 60 can be seen of those who made the term deposit.
T tests
Duration and Y
Variables: duration and yes have a significant relationship.
There is a significant difference in contact duration between those who subscribed to term deposit and those that didn’t.
Therefore, clients with whom the call lasts longer are more likely to open a term deposit.
Campaign and Y
Variables: campaign and yes have a significant relationship.
It is interesting to note that contacting a client greater number of times does not necessarily yield a yes.
It is safe to recommend that the company should put a limit to the times a client is contacted, in this case, perhaps, not more than 3 times.
Pdays and Y
Variables: pdays and yes have a significant relationship.
Due to the presence of 999 as an input for missing value the scatter plot shows activity around x axis value: 1000.
There is a significant difference in the number of days after the client was last contacted from a previous campaign for those who opened term the deposit in relation to those who didn’t.
Therefore, people who were contacted sooner after the last contact made from the previous campaigns are more likely to open term deposits.
Previous and Y
The variables previous and y are significantly related.
There is a significant difference in the number of times a client was contacted in the previous campaign who made the term deposit from those who didn’t.
Therefore, people who were contacted in previous campaigns greater number of times are more likely to make a term deposit.
Employee Variation Rate and Y
The variable Employee Variation Rate is significantly related to the variable ‘y.’
There is a significant difference in the mean employment variation rate for those who subscribed for a term deposit in relation to those who didn’t.
Therefore, when employee variation rate is negative, i.e., when the client deals the less variation in the employees contacting him/her, s/he is more likely to open term deposits.
Consumer Price Index and Y
##
## Welch Two Sample t-test
##
## data: bank$cons.price.idx by bank$y
## t = 24.082, df = 5472.5, p-value < 2.2e-16
## alternative hypothesis: true difference in means is not equal to 0
## 99 percent confidence interval:
## 0.2226894 0.2760528
## sample estimates:
## mean in group no mean in group yes
## 93.60376 93.35439
The variable Consumer Price Index is significantly related to the variable ‘y.’
However, the difference between there means is not significant enough to rely on this variable as a predictor.
Consumer Confidence Index and Y
##
## Welch Two Sample t-test
##
## data: bank$cons.conf.idx by bank$y
## t = -8.6365, df = 5258.3, p-value < 2.2e-16
## alternative hypothesis: true difference in means is not equal to 0
## 99 percent confidence interval:
## -1.0429877 -0.5636368
## sample estimates:
## mean in group no mean in group yes
## -40.59310 -39.78978
The variable Consumer Confidence Index is significantly related to the variable ‘y.’
However, the difference between there means is not significant enough to rely on this variable as a predictor.
Euribor 3 month rate and Y
The variable Euribor 3 month rate is significantly related to the variable ‘y.’
There is a significant difference in euribor 3 month rate between those who subscribed to term deposit and those that didn’t.
Therefore, when Euribor interest rate is low people are more likely to open a term deposit.
Number of Employees and Y
The variable Number of Employees is significantly related to the variable ‘y.’
However, the difference between there means is not significant enough to rely on this variable as a predictor.
