Question

In: Statistics and Probability

Jason believes that the sales of coffee at his coffee shop depend upon the weather. The...

Jason believes that the sales of coffee at his coffee shop depend upon the weather. The partial results of his regression analysis is below. You might need to fill in some blank spaces in the output.

Regression Statistics

Multiple R

0.95

R Square

Adj. R Square

0.88

Standard Error

39.98

Observations

6

ANOVA

df

SS

MS

F

Significance F

Regression

1

38.66

0.00

Error

4

1598.57

Total

5

68200.00

Coefficients

Std Error.

t Stat

P-value

Lower 95%

Upper 95%

Intercept

600.71

73.52

8.17

0.00

396.60

804.83

Temperature (⁰F)

-6.22

0.00

-8.60

-3.29

a.

Which variable is the dependent variable?

b.

Write the estimated regression equation.

c.

Calculate and interpret the slope coefficient.

d.

Calculate and interpret the R-Square.

e.

Is there a significant relationship between the sales of coffee and temperature?

f.

What is the relationship between the t-stat and the F? Explain.

g.

Predict sales of a 75-degree day.

Solutions

Expert Solution


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