Consider the data in the following table regarding the age of a particular model of car and asking price for that car. Please answer the following questions using the output of Regression analysis from Excel. Alpha is 0.05.
Age | Asking price |
1 | 11875 |
1 | 10222 |
2 | 9990 |
2 | 8600 |
3 | 9000 |
4 | 6995 |
5 | 4440 |
5 | 5500 |
6 | 4400 |
6 | 4880 |
8 | 3900 |
8 | 3880 |
9 | 3550 |
9 | 3620 |
10 | 3500 |
10 | 3550 |
13 | 2100 |
13 | 1950 |
15 | 1500 |
7. Calculate the slope of the age of the car using one of the formulas
8. Is the whole regression model effective in predicting the price of the car? Use an alpha level of 0.05. show which values you use to make the decision.
9. Does the age of the car significantly influence the price at the alpha level of 0.05? show which values you use to make the decision.
10. What is the value of the estimated intercept? Interpret the value in terms of age of the car, and asking price for that car.
11. What are the values of the estimated slope for the IV? Interpret the value in terms of actual names of IV and the DV.
Consider the data in the following table regarding the age of a particular model of car...
A used car salesman wants to explain car price ($1,000s) using car age (years). A sample of midsized sedans was obtained. The output from a simple linear regression on the data is below. Parameter Estimate Std. Err. DF T-Stat P-value Intercept 17.370 1.448 8 11.31 0.000 Slope - 1.2283 0.2130 8 -5.77 0.001 Analysis of variance table for regression model: Source DF SS MS F-stat P-value Model 1 138.79 138.79 33.26 0.001 Error 8 29.21 4.17 Total 9 168.00 S...
The accompanying table shows a portion of data consisting of the selling price, the age, and the mileage for 20 used sedans. a. Determine the sample regression equation that enables us to predict the price of a sedan on the basis of its age and mileage. (Negative values should be indicated by a minus sign. Round your answers to 2 decimal places.) [If you are using R to obtain the output, then first enter the following command at the prompt:...
The accompanying table shows a portion of data consisting of the selling price, the age, and the mileage for 20 used sedans. Click here for the Excel Data File Selling Price Age Miles 13,557 4 61,488 13,710 6 54,378 22,917 2 8,233 15,298 7 24,829 16,404 3 22,134 16,583 1 23,742 16,975 3 47,367 18,460 2 16,879...
The owner of Maumee Ford-Volvo wants to study the relationship between the age of a car and its selling price. Listed below is a random sample of 12 used cars sold at the dealership during the last year. Car Age (years) Selling Price ($000) 1 11 12.2 2 8 11.0 3 16 4.9 4 18 4.1 5 9 6.7 6 8 13.6 7 10 11.1 8 16 9.0 9 14 9.0 10 18 4.2 11 6 12.1 12 6 10.4...
SellingPrice
Age
Miles
13532
8
61456
13740
9
54394
22979
2
8260
15276
5
24897
16423
2
22148
16627
7
23696
16907
1
47447
18405
1
16812
18811
7
35377
19850
5
29664
11883
9
55844
14918
2
46207
15925
1
36984
16485
2
45531
9431
9
86950
12947
8
77237
15742
8
59686
10538
8
93255
8913
9
48299
11954
9
42428
2 The accompanying table shows a portion of data consisting of the selling price, the age, and...
The accompanying table shows a portion of data consisting of the selling price, the age, and the mileage for 20 used sedans. Selling Price Age Miles 13545 7 61522 13769 9 54353 22926 1 8214 15300 2 24809 16425 3 22133 16614 2 23665 16916 5 47380 18449 2 16895 18891 4 35417 19819 5 29660 11825 7 55774 14979 2 46169 15858 4 36951 16470 5 45535 9457 8 86948 12972 8 77224 15719 5 59665 10536 9 93251...
Q3. 47 ptsSuppose the weight (y) of babies depends on their height (xi) and age (x2). The following table presents the data for a sample of 5 babies and some results of analysis of the data are also given below. 2 | 4 | 5 | 7|8| Given that (XX) xi | 1.5 | 2 | 2.5 | 3.5 | 3 | [16.4286-14.2857 4.428571 Corr matrix 1.00 0.985 0.985 1.000 0.8285 X2 1 35 7 614.2857 13.25714.285710.3142 3) 0.7142 4.42857-4.2857...
3. The following table shows data for the cost of natural gas in Maryland (in dollars per Million Btu) for x years since 1990, values in x cokimin. Define the explanatory and response variables for this problem in complete sentences. (3pts) The explanatory variable is the year and the response variable is the price per million Btu. a b. Use the Statkex (2quantitative variables) or calculator to obtain the linear regression line of best fit for the original prices, round...
The data below contains mileage, age, and selling price for a sample of 33 sedans. Price Mileage Age Price Mileage Age Price Mileage Age 16,998 35,000 11,599 95,000 18,998 20,000 2 17,599 16,000 3 9,499 123,000 8 12,599 63,000 7 15,998 42,000 3 14,599 54,000 5 12,599 70,000 15,998 60,000 4 10,599 68,000 10 10,998 88,000 10 11,599 102,000 16,998 40,000 4 11,998 86,000 6 12,998 109,000 4 20,998 7,000 11,998 60,000 6 14,998 60,000 11,599 80,000 9 17,599 45,000...
A particular professor has noticed that the number of people, P, who complain about his attitude is dependent on the number of cups of coffee, n, he drinks. From eight days of tracking he compiled the following data:People (P)1110967655Cups of coffee (n)11233445Unless otherwise stated, you can round values to two decimal places.a) Using regression to find a linear equation for P(n)P(n)P(n) = b) Find the correlation coefficientrr = c) Does the correlation coefficient indicate a strong linear trend, a weak linear trend, or no linear trend?strong linear...