In: Statistics and Probability
{Exercise 16.3}
Dataset:
| Rate | Starts |
| 8.5 | 115 |
| 7.8 | 111 |
| 7.6 | 185 |
| 7.5 | 201 |
| 8.0 | 206 |
| 8.4 | 167 |
| 8.8 | 155 |
| 8.9 | 117 |
| 8.5 | 133 |
| 8.0 | 150 |
To determine how the number of housing starts is affected by mortgage rates an economist recorded the average mortgage rate and the number of housing starts in a large county for the past 10 years. These data are listed in dataset.
a) Determine the regression line (number of Starts = Rate).
bo = ______(to 2 decimals)
b1 = ______(to 1 decimal)
b) What do the coefficients of the regression line tell you about the relationship between mortgage rates and housing starts?
The slope coefficient tells us that for each additional 1 percentage point increase in mortgage rates, the number of housing starts _______ on average by ________(to 2 decimals).
| SUMMARY OUTPUT | |||||
| Regression Statistics | |||||
| Multiple R | 0.542950618 | ||||
| R Square | 0.294795374 | ||||
| Adjusted R Square | 0.206644795 | ||||
| Standard Error | 31.47717427 | ||||
| Observations | 10 | ||||
| ANOVA | |||||
| df | SS | MS | F | Significance F | |
| Regression | 1 | 3313.5 | 3313.5 | 3.344225068 | 0.10484215 |
| Residual | 8 | 7926.5 | 990.8125 | ||
| Total | 9 | 11240 | |||
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | |
| Intercept | 475.1666667 | 175.9053933 | 2.701262637 | 0.027021152 | 69.52810221 |
| Rate | -39.16666667 | 21.41750431 | -1.82872225 | 0.10484215 | -88.55552016 |
a)
y^ = 475.16666 -39.16666 * rate
b0 = 475.17 , b1 = -39.2
b)
The slope coefficient tells us that for each additional 1 percentage point increase in mortgage rates, the number of housing starts ____decrease ___ on average by 39.17
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