Question

In: Statistics and Probability

Populate an excel sheet with the information, below. After you have installed the Analysis ToolPak, open...

Populate an excel sheet with the information, below. After you have installed the Analysis ToolPak, open “Data Analysis” and scroll down to “Regression” and click. The regression window will open. Run a regression analysis on the annual car sales, over the last three years, taken from William and Sam Automotive sales. Year Car Sales 2015 200 2016 250 2017 270.

Solutions

Expert Solution

SUMMARY OUTPUT
Regression Statistics
Multiple R 0.970725343
R Square 0.942307692
Adjusted R Square 0.884615385
Standard Error 12.24744871
Observations 3
ANOVA
df SS MS F Significance F
Regression 1 2450 2450 16.33333333 0.154420958
Residual 1 150 150
Total 2 2600
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept -70320 17459.07357 -4.027705119 0.154927474 -292158.5633 151518.5633 -292158.5633 151518.5633
Year 35 8.660254038 4.041451884 0.154420958 -75.03896087 145.0389609 -75.03896087 145.0389609

Car sales = -70320 + 35 * year

If you consider year 2015 =1 and year 2016=2 and 2017 =3

SUMMARY OUTPUT
Regression Statistics
Multiple R 0.970725343
R Square 0.942307692
Adjusted R Square 0.884615385
Standard Error 12.24744871
Observations 3
ANOVA
df SS MS F Significance F
Regression 1 2450 2450 16.33333333 0.154420958
Residual 1 150 150
Total 2 2600
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept 170 18.70828693 9.086882225 0.069778423 -67.71132404 407.711324 -67.71132404 407.711324
Year 35 8.660254038 4.041451884 0.154420958 -75.03896087 145.0389609 -75.03896087 145.0389609

Car sales = 170 + 35 * year


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