Source Visual 23 - ## Problem Set 2 24 A car dealer wants to find the relationship between the odometer 25 reading and the selling price of used cars. A random sample of 6 cars is selected, and the data recorded. 27 28 \\begin{center} 29 \\begin{tabular} { Illclcl} 30 \\hline 31 Car & Odometer & Price \\\\ 32 \\hline 33 1 & 37388 & 14636\\\\ 34 \\hline 35 2 & 44758 & 14122 \\\\ 36 \\hline 37 3 & 45833 & 14016 \\\\ 38 \\hline 39 4 & 30862 & 15590 \\\\ 40 \\hline 41 5 & 31705 & 15568 \\\\ 42 \\hline 43 6 & 34010 & 14718 \\\\ 44 \\hline 45 \\end {tabular} 46 \\end {center}49' \"'{r} 4. b 50 odometer:c(37388,44758,45833,30862,317@5,34010) 51 price:c(14636,l4122,14@16,1559@,15568,14718) 52 corCodometer,price) 53A \\\\\\ 54 There is a high negative correlation between *odometer* and *price*. 55 56 a. Identify the independent and dependent variables. Discuss the reason 57 For identification. 58 59 b. Look for the regression line and Rsquared. 60 61 c. Predict a response variable at your choice of independent variable that is not in the given. 62 63 d. Create a scatter plot with the regression line and labels. 64 65 Sample Plot 66' \"'{r} 4 ' 67 plotCodometer, price, main : \"ScatterPlot", xlab : "Odometer", ylab : "Price", pch:19, col :"red") 68 ablineCa:l.846e+04, b:9.841e@2, col:"blue", lwd :3) 69* \\\\\\ 70 71 e. Is the regression line a better Fit? Explain. 7