In: Statistics and Probability
ANOVA |
||||
df |
SS |
MS |
F |
|
Regression |
2 |
552.137 |
267.069 |
24.235 |
Residual |
10 |
110.22 |
11.02 |
|
Total |
12 |
662.357 |
||
Coefficients |
Standard Error |
t Stat |
P-value |
|
Intercept |
-38.623 |
3.630 |
12.569 |
0.000 |
Location distance |
0.309 |
0.016 |
6.552 |
0.000 |
Answer: The following output was obtained from a regression analysis of the dependent variable Sales volume and an independent variable "location distance from the downtown branch.
Solution:
a) Calculate and interpret the correlation coefficient. What does it tell us?
Correlation coefficient, r = √(Regression SS/Total SS)
Correlation coefficient = √552.137/662.357
Correlation coefficient, r = 0.9130.
Interpretation:
There is a strong positive linear relationship between dependent variable Sales volume and independent variable location distance from the downtown branch.
b) Calculate and interpret the coefficient of determination.
Coefficient of determination r^2 = (0.9130)^2
Coefficient of determination, r^2 = 0.8336
Interpretation:
Coefficient of determination explained 83.36% of variation in Sales volume data on location distance from the downtown branch.
c) What is the estimated regression equation?
Y = β0 + β1X
Where, Y - Sales volume
X - Location distance from downtown branch.
Y = - 38.623 + 0.309X.
d)Calculate the estimated sales volume if we open up a store which is 15.6 km away from the central branch in downtown.
When X = 15.6
Y = - 38.623 + 0.309X
Y = - 38.623 + 0.309(15.6)
Y = - 33.8026
Therefore, the estimated sales volume if we open up a store 15.6 km away from the central branch in downtown is -33.8026.