Question

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 a particular model. The association between Age and Price is negative,linear and strong. c) Do you thirnk a linear model is appropriate? Age (yr) Price Advertised (S) 12,970 10,955 10,470 10,995 10,950 6,935 7,940 8,760 6,960 5,940 4,955 3,240 2,265 3,9TD 2,955 2,945 1,745 0 A. No, the linear model is not appropriate because the data points do not form a relatively straight line and/or there are outliers. O B. No, the linear model is not appropriate because the variables are not quanttatve variables. ⓔ С. Yes, the linear model is appropriate because the data points form a relatively straight line and there are no outliers. 0 D. Yes, the linear model is appropriate because the data points have been randomized. d) Computer software says that R2-89.2%, what is the oorrelation between age and price? The correlation, r, between Age and Price is (Round to three decimal places as needed.) Click to select your answens). 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 adverlised prices. Complete parts a through fbelow EEl Click the icon to view the table. c) Do you think a linear model is appropriate? Data Table A. O B. No, the linear model is not appropriate because the data points do not form a relatively straight line and/or there are outliers. No, the linear model is not appropriate because the variables are not quantitative variables. Age (yr) Price Advertised (S) 12,970 10,955 10,470 10,995 10,950 6,935 7,940 8,760 6,980 5,940 4,955 3,240 2,265 3,970 2,955 2,945 1,745 C. Yes, the linear model is appropriate because the data points form a relatively straight line and there are no outliers. O D. Yes, the linear model is appropriate because the data points have been randomized. d) Computer software says that R2-89.2%, what is the correlation between age and price? The correlation, r, between Age and Price is Round to three decimal places as needed.) e) Explain the meaning of R in this context. Choose the correct answer below. O A. Age accounts for 89.2% of the variation in advertised price O B. Advertised price accounts for 89.2% of the variation in age C. Advertised price accounts for 10.8% of the variation in age. O D. Age accounts for 10.8% of the variation in advertised price f) Why doesn't this odel explain 100% of the variability in the price of a used car of a particular model? 13 O A. The ages are rounded to years, but should actually be in terms of months. B. It is impossible to have a variability above 90%. The data cannot contain more than 10 points to have a model that explains 100% of the variability. C. O D. Other factors such as options, condition, and mileage contributs to the asking price. Print Done

Answer 1

1:44 CS0 Book (6) (1) 1 Age (Yr) Price a) Option A 1 12970 b) Negative Linear and strong 1 10955 2 10470 3 10995 310950 6935 7940 8760 6960 5940 4955 3240 2265 3970 2955 2945 13 1745 c) Option C d) correlation, r e) Option A Option A 0.944 Formula correl 4 10 12 9 14 15 16 17 18 19 Price 21 22 14000 23 12000 24 25 26 8000 27 6000 28 29 4000 30 2000 31 32 10000 10 14 12 Price 34 35 37 38 39 41