In: Statistics and Probability
Suppose you are interested in buying a new Toyota Corolla. You are standing on the sales lot looking at a model with different options. The list price is on the vehicle. As a salesperson approaches, you wonder what the dealer invoice price is for this model with its options. The following data are based on a random selection of Toyota Corollas of different models and options. Let y be the dealer invoice (in thousands of dollars) for the given vehicle.
| x | 12.8 | 12.9 | 12.8 | 13.6 | 13.4 | 14.2 | 
| y | 11.4 | 11.7 | 11.5 | 12.2 | 12.0 | 12.8 | 
Verify that Σx = 79.7, Σy = 71.6, Σx2 = 1060.25, Σy2 = 855.78, Σxy = 952.53, and r ≈ 0.991.
Verify that Se ≈ 0.0791, a ≈ -0.291, and b ≈ 0.920
Answer for 1% level of significance to test the claim that ρ > 0 is
| t | 14.57 | 
| critical t | 3.75 | 
Find a 95% confidence interval for y when x = 13.4 (thousand dollars). (Use 2 decimal places.)
| lower limit | |
| upper limit | 
Answer for a 1% level of significance to test the claim that β > 0 is
| t | 14.57 | 
| critical t | 3.75 | 
Find a 95% confidence interval for β and interpret its meaning. (Use 2 decimal places.)
| lower limit | |
| upper limit | 
using excel>data>data analysis>Regression
we have
| Simple Linear Regression Analysis | ||||||
| Regression Statistics | ||||||
| Multiple R | 0.9907 | |||||
| R Square | 0.9815 | |||||
| Adjusted R Square | 0.9769 | |||||
| Standard Error | 0.0791 | |||||
| Observations | 6 | |||||
| ANOVA | ||||||
| df | SS | MS | F | Significance F | ||
| Regression | 1 | 1.3283 | 1.3283 | 212.2117 | 0.0001 | |
| Residual | 4 | 0.0250 | 0.0063 | |||
| Total | 5 | 1.3533 | ||||
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | |
| Intercept | -0.2913 | 0.8398 | -0.3469 | 0.7462 | -2.6229 | 2.0404 | 
| x | 0.9203 | 0.0632 | 14.5675 | 0.0001 | 0.7449 | 1.0957 | 
| Confidence Interval Estimate | |
| Data | |
| X Value | 13.4 | 
| Confidence Level | 95% | 
| Intermediate Calculations | |
| Sample Size | 6 | 
| Degrees of Freedom | 4 | 
| t Value | 2.776445 | 
| XBar, Sample Mean of X | 13.28333 | 
| Sum of Squared Differences from XBar | 1.568333 | 
| Standard Error of the Estimate | 0.079116 | 
| h Statistic | 0.175345 | 
| Predicted Y (YHat) | 12.0407 | 
| For Average Y | |
| Interval Half Width | 0.0920 | 
| Confidence Interval Lower Limit | 11.9487 | 
| Confidence Interval Upper Limit | 12.13268 | 
| For Individual Response Y | |
| Interval Half Width | 0.2381 | 
| Prediction Interval Lower Limit | 11.8026 | 
| Prediction Interval Upper Limit | 12.27884 | 
Answer for 1% level of significance to test the claim that ρ > 0 is
| t | 17.84 | 
| critical t | 3.75 | 
Find a 95% confidence interval for y when x = 13.4 (thousand dollars). (Use 2 decimal places.)
| lower limit | 11.95 | 
| upper limit | 12.13 | 
Answer for a 1% level of significance to test the claim that β > 0 is
| t | 14.57 | 
| critical t | 3.75 | 
Find a 95% confidence interval for β and interpret its meaning. (Use 2 decimal places.)
| lower limit | 0.75 | 
| upper limit | 1.10 |