Classified ads in a newspaper offered for sale 15 used cars of the same make and model. The output of a regression analysis is given. Assume all conditions for regression have been satisfied. Create a 95% confidence interval for the slope of the regression line and explain what your interval means in context.
Coeff. SE t-Stat
y-Int. 12204 563.07 21.674
Age -1029 83.34 -12.347
Find the 95% confidence interval for the slope.
The confidence interval is (___,___) (Round to two decimal places as needed.)
What does the 95% confidence interval mean in context?
A. It can be said with 95% confidence that next year, the price of each used car will have changed by an amount contained in the interval.
B. It can be said with 95% confidence that the interval contains the true rate at which the price of a used car changes in relation to its age.
C. The true rate at which the price of a used car changes in relation to its age is between the endpoints of the confidence interval 95% of the time.
Here
estimated slope
= -1029
and standard error of slope
= 83.34
and sample size n = 15
a 95% confidence interval for the slope is




Interpretation :
B. It can be said with 95% confidence that the interval contains the true rate at which the price of a used car changes in relation to its age.
Classified ads in a newspaper offered for sale 15 used cars of the same make and...
Classified ads in the local paper offered several used cars of a particular model for sale. The used car ages are measured in years and the advertised selling prices in dollars. Simple linear regression results: Dependent Variable: ad price Independent Variable: age Price_Advertised_($) = 12288.813 - 921.27273 Age_(yr) Sample size: **** R (correlation coefficient) = ****** R-sq = 0.89346768 Estimate of error standard deviation: 1218.3026 Parameter estimates: Parameter Estimate Std. Err. Alternative DF T-Stat P-value Intercept 12288.813 574.62041 ≠ 0...
Regression was performed on test data for 46 car models to examine the association between the weight (thousands of pounds) of the car and the fuel efficiency (miles per gallon). Data provided: Variable Coefficient SE(Coeff) t-ratio P-value Intercept 34.1286 1 1.752 2.9 0.0058 Weight -5.49216 0.5354 -10.3 < or equal 0.0001 a) Create a 95% confidence interval for the slope of the regression line. The confidence interval is _____, ______ b) Explain in this context what your confidence interval means...
Question Help Classified ads in the local paper offered several used cars of a particular model for sale. Listed in the accompanying table are the ages of the cars and the advertised prices. Complete parts a through f below. Click the icon to view the table. a) Make a scatterplot for these data. Choose the correct answer below OA. OB. OC. Price (5) 15000 12000 9000 5000 3000 Price 5) 15000 12000 9000 6000 3000 15000 12000 9000 6000 3000...
6. (7 pts.) The mean age of all used cars for sale in a newspaper one Saturday last month was7 years, with a standard deviation of 4 years. The distribution of ages is right-skewed. For a study to determine the reliability of classified ads, a reporter randomly selects 36 of these used (a) Mean of Distribution of T cars. SE of- (b) Find the probability that the mean age of the 49 cars selected is more than 8 years. P(E>...
Classifled ads in the local paper offered several used cars of a particular model for sale. Listed in the accompanying table are the ages of the cars and the advertised prioes. Complete parts a through f below Click the icon to view the table a) Make a scatterplot for these data. Choose the correct answer below. О с. B. 12 15 6 12 15 Agayr Data Table b Describe the assoclation between Age and Price of a used car of...
2. Use the data in hpricel.wfl uploaded on Moodle for this exercise. We assume that all assump- tions of the Classical Linear Model are satisfied for the model used in this question. (a) Estimate the model and report the results in the usual form, including the standard error of the regression. Obtain the predicted price when we plug in lotsize - 10, 000, sqrft - 2,300, and bdrms- 4; round this price to the nearest dollar. (b) Run a regression...