Stack Height Analysis Among Training Shoes

History

# A tibble: 10 × 7
    year count mean_stack_height_heel_in_mm mean_lrc_grade_overall
   <int> <int>                        <dbl>                  <dbl>
 1  2014    25                         26.9                   8.54
 2  2015    21                         27.4                   8.55
 3  2016    30                         27.7                   8.58
 4  2017    32                         27.1                   8.55
 5  2018    52                         28.2                   8.64
 6  2019    43                         28.9                   8.63
 7  2020    14                         32.8                   8.65
 8  2021    28                         32.5                   8.59
 9  2022    64                         34.6                   8.63
10  2023    55                         35.1                   8.57
# ℹ 3 more variables: mean_lrc_grade_comfort <dbl>,
#   mean_lrc_grade_cushioning <dbl>, mean_lrc_grade_durability <dbl>

Distribution of stack heights

`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

Do people like shoes more with higher stack heights?

`geom_smooth()` using formula = 'y ~ x'

`geom_smooth()` using formula = 'y ~ x'
`geom_smooth()` using formula = 'y ~ x'
Warning: Removed 221 rows containing non-finite values (`stat_smooth()`).

`geom_smooth()` using formula = 'y ~ x'
Warning: Removed 221 rows containing non-finite values (`stat_smooth()`).
# A tibble: 3 × 5
  stack_height_heel_cat    avg_overall avg_comfort avg_cushioning avg_durability
  <chr>                          <dbl>       <dbl>          <dbl>          <dbl>
1 High Heel Stack Height …        8.73        8.77           9.12           7.89
2 Low Heel Stack Height (…        8.63        8.71           8.51           7.83
3 Medium Heel Stack Heigh…        8.58        8.69           8.78           8.02

Drawbacks of High Stack Heights?

`geom_smooth()` using formula = 'y ~ x'

`geom_smooth()` using formula = 'y ~ x'
Warning: Removed 221 rows containing non-finite values (`stat_smooth()`).

Quick Model-based Approach

Linear mixed model fit by REML ['lmerMod']
Formula: rating_overall ~ stack_height_heel_in_mm + weight_in_ounces +  
    (1 | shoe_id)
   Data: filter(reviewsAnalysis, trainer == TRUE)

REML criterion at convergence: 19463.2

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-5.9297 -0.4377  0.2409  0.5649  1.5344 

Random effects:
 Groups   Name        Variance Std.Dev.
 shoe_id  (Intercept) 0.06949  0.2636  
 Residual             1.66316  1.2896  
Number of obs: 5765, groups:  shoe_id, 375

Fixed effects:
                         Estimate Std. Error t value
(Intercept)              8.522917   0.219329  38.859
stack_height_heel_in_mm  0.008895   0.004889   1.819
weight_in_ounces        -0.032548   0.023665  -1.375

Correlation of Fixed Effects:
            (Intr) st____
stck_hgh___ -0.396       
weght_n_ncs -0.749 -0.301
Linear mixed model fit by REML ['lmerMod']
Formula: rating_comfort ~ stack_height_heel_in_mm + weight_in_ounces +  
    (1 | shoe_id)
   Data: filter(reviewsAnalysis, trainer == TRUE)

REML criterion at convergence: 20479.7

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-6.1186 -0.4718  0.1835  0.7924  1.7606 

Random effects:
 Groups   Name        Variance Std.Dev.
 shoe_id  (Intercept) 0.1353   0.3678  
 Residual             1.9625   1.4009  
Number of obs: 5765, groups:  shoe_id, 375

Fixed effects:
                         Estimate Std. Error t value
(Intercept)              8.489325   0.266491  31.856
stack_height_heel_in_mm  0.006959   0.005993   1.161
weight_in_ounces        -0.007962   0.028932  -0.275

Correlation of Fixed Effects:
            (Intr) st____
stck_hgh___ -0.390       
weght_n_ncs -0.746 -0.312
Linear mixed model fit by REML ['lmerMod']
Formula: rating_cushioning ~ stack_height_heel_in_mm + weight_in_ounces +  
    (1 | shoe_id)
   Data: filter(reviewsAnalysis, trainer == TRUE)

REML criterion at convergence: 14176

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-5.3339 -0.5088  0.1650  0.6951  1.9666 

Random effects:
 Groups   Name        Variance Std.Dev.
 shoe_id  (Intercept) 0.2719   0.5215  
 Residual             2.0332   1.4259  
Number of obs: 3923, groups:  shoe_id, 335

Fixed effects:
                        Estimate Std. Error t value
(Intercept)             6.323654   0.364113  17.367
stack_height_heel_in_mm 0.045668   0.008095   5.642
weight_in_ounces        0.083596   0.040994   2.039

Correlation of Fixed Effects:
            (Intr) st____
stck_hgh___ -0.356       
weght_n_ncs -0.746 -0.347
Linear mixed model fit by REML ['lmerMod']
Formula: rating_durability ~ stack_height_heel_in_mm + weight_in_ounces +  
    (1 | shoe_id)
   Data: filter(reviewsAnalysis, trainer == TRUE)

REML criterion at convergence: 22768.9

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-4.8140 -0.5718  0.0893  0.7526  1.8040 

Random effects:
 Groups   Name        Variance Std.Dev.
 shoe_id  (Intercept) 0.1468   0.3832  
 Residual             2.9414   1.7150  
Number of obs: 5765, groups:  shoe_id, 375

Fixed effects:
                        Estimate Std. Error t value
(Intercept)              5.75271    0.30279  18.999
stack_height_heel_in_mm  0.01982    0.00677   2.928
weight_in_ounces         0.17580    0.03274   5.370

Correlation of Fixed Effects:
            (Intr) st____
stck_hgh___ -0.394       
weght_n_ncs -0.748 -0.305