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 |