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
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Multiple R
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0.95
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R Square
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Adj. R Square
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0.88
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Standard Error
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39.98
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Observations
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6
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ANOVA
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df
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SS
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MS
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F
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Significance F
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Regression
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1
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38.66
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0.00
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Error
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4
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1598.57
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Total
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5
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68200.00
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Coefficients
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Std Error.
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t Stat
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P-value
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Lower 95%
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Upper 95%
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Intercept
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600.71
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73.52
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8.17
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0.00
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396.60
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804.83
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Temperature (⁰F)
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-6.22
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0.00
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-8.60
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-3.29
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a.
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Which variable is the dependent variable?
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b.
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Write the estimated regression equation.
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c.
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Calculate and interpret the slope coefficient.
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d.
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Calculate and interpret the R-Square.
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e.
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Is there a significant relationship between the sales of coffee
and temperature?
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f.
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What is the relationship between the t-stat and the F?
Explain.
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g.
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Predict sales of a 75-degree day.
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