Bivariate analysis for marketing managers

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Objective

The objective of this tutorial is to explain how bivariate analysis works.This analysis can be used by marketers to make decisions about their pricing strategies, advertising strategies, and promotion stratgies among others.

Bivariate analysis is one of the simplest forms of statistical analysis. It is generally used to find out if there is a relationship between two sets of values (or two variables). That said, it usually involves the variables X and Y (statisticshowto.com).

• Univariate analysis is the analysis of one (“uni”) variable.
• Bivariate analysis is the analysis of exactly two variables.
• Multivariate analysis is the analysis of more than two variables.

Dataset - We will be using two online datasets available in R for this tutorial

plot(y3 ~ x2, data = anscombe, pch = 16)
abline(lm(y3 ~ x3, anscombe), col = "grey20")

Question 1:is there a relationship between x and y? If so, what does the relationship look like?

Your answer here-

There is a relationship between x and y and that would be that there is a positive linear relationship. Though it seams like the doted line increases rapidly then returns to normal with the full line.

library(readr)
library(readr)
ad_sales <- read_csv('https://raw.githubusercontent.com/utjimmyx/regression/master/advertising.csv')

## `curl` package not installed, falling back to using `url()`
## New names:
## Rows: 200 Columns: 6
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## dbl (6): ...1, X1, TV, radio, newspaper, sales
## 
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.

plot(sales ~ TV, data = ad_sales)

Question 2:Is there a relationship between TV advertising and Sales? If so, what does the relationship look like?

Your answer here-

There is a relationship between TV advertising and sales and that is that they both have a positive linear relationship. The more TVs that are avertising that number of sales increases.

Question 3:Can you plot the relationship between radio advertising and Sales? If so, what does the relationship look like?

plot(sales ~ radio, data = ad_sales)

###Your answer here- I don’t believe that there is a relationship between the radio and sales because it is to inconsistent. No mater how many radios are advertising the sales are inconsistently increasing and decreasing at the same time.

Question 4: Explain one of the functions you learned in your own words.

Your answer here-

The function that i learned today was on how to properly code in graphs and how to find is it has any relationships.I also learned how to move the shaded area.

References

Bivariate Analysis Definition & Example https://www.statisticshowto.com/bivariate-analysis/#:~:text=Bivariate%20analysis%20means%20the%20analysis,the%20variables%20X%20and%20Y.

https://www.sciencedirect.com/topics/mathematics/bivariate-data