Question

In: Statistics and Probability

Using Excel, create scatter plots and display the regression equations for the following pairs of variables:...

  • Using Excel, create scatter plots and display the regression equations for the following pairs of variables:
  • “MedAge” versus “Sales/SqFt”
  • In your report, include the scatter plots. For each scatter plot, designate the type of relationship observed (increasing/positive, decreasing/negative, or no relationship) and determine what you can conclude from these relationships.

Sales/SqFt

701.97 209.93 364.92 443.04 399.20 264.64 571.59 642.25 461.45 638.82 484.38 581.09 267.71 572.84 586.48 368.73 351.47 458.24 987.12 357.45 405.77 680.80 368.02 303.95 393.90 562.12 494.88 310.07 373.46 235.81 413.08 625.22 274.30 542.62 178.56 375.33 329.09 297.37 323.17 468.84 352.57 380.34 398.12 312.15 452.16 698.64 367.19 431.93 367.06 400.53 414.36 481.11 538.06 330.48 249.93 291.87 517.40 551.58 386.81 427.50 453.94 512.46 345.27 234.04 348.33 348.47 294.95 361.14 467.71 403.78 245.74 339.94 400.82 326.54

MedAge

34.4 41.2 40.3 35.4 31.5 36.3 35.1 37.6 34.9 34.8 36.2 32.2 30.9 37.7 34.3 32.4 32.1 31.4 30.4 33.9 35.6 35.9 33.6 37.9 40.6 37.7 36.4 40.9 35.0 26.4 37.1 30.3 31.3 29.6 32.9 40.7 29.3 37.3 39.8 33.9 35.0 35.0 35.9 33.0 30.9 38.5 40.5 32.1 34.8 38.0 37.0 34.7 36.4 36.8 32.2 34.8 36.7 33.8 34.2 39.0 34.9 39.3 35.6 36.0 41.1 24.7 40.5 32.9 30.3 36.2 32.4 43.5 41.6 31.4

Solutions

Expert Solution

Following is the scatter plot the given data;

Scatter plot shows a very weak negitive relationship between the variables.  

Let Y denote Sales/SqFt and X denote MedAge.

Following is the output of regression analysis generated by excel

SUMMARY OUTPUT
Regression Statistics
Multiple R 0.059787205
R Square 0.00357451
Adjusted R Square -0.010264733
Standard Error 137.9420885
Observations 74
ANOVA
df SS MS F Significance F
Regression 1 4914.708539 4914.708539 0.258287967 0.6128524
Residual 72 1370017.425 19028.01979
Total 73 1374932.133
Coefficients Standard Error t Stat P-value Lower 95% Upper 95%
Intercept 499.3391617 156.3353519 3.194025891 0.002082334 187.6903378 810.9879856
MedAge, X -2.245190974 4.417750666 -0.508220392 0.6128524 -11.05181585 6.561433903

The regression equation is

y' = 499.339 - 2.245x

Following is the scatter plot with regression line:


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