Linear Regression Equallons ' Develop an estimated regression equation using annual income ($1000s) as the independent variable and annual credit card charges as the dependent variable. (Round your numerical values to the nearest integer.) 2208 + 40x1 J}: X Compute R2. (Round your answer to three decimal places.) 22= Develop an estimated regression equation using household size as the independent variable and annual credit card charges as the dependent variable. (Round your numerical values to the nearest integer.) 2579 + 4051-2 f: X Compute R2. (Round your answer to three decimal places.) 22:J Which variable is the better predictor of annual credit card charges? Discuss your ndings. The better predictor is evidenced by the J value of R2. Therefore, the household size V J is the better predictor of annual credit card charges. Income Household Amount ($1,000s) Size Charged ($) 54 3 4,026 30 2 3,169 32 4 5,110 50 5 4,752 31 2 1,874 55 2 4,060 37 1 2,721 40 2 3,358 66 4 4,774 51 3 4,100 25 3 4,198 48 4 4,229 27 1 2,487 33 2 2,504 65 3 4,204 63 4 4,955 42 6 4,402 21 2 2,438 44 1 2,985 37 5 4,181 62 6 5,688 21 3 3,613 55 7 5,311 42 2 3,01041 7 4,818 54 6 5,563 30 1 2,593 48 2 3,856 34 5 3,576 67 4 5,047 50 2 3,595 67 5 5,335 55 6 5,380 52 2 3,880 62 3 4,695 64 2 4,147 22 3 3,589 29 4 3,900 39 2 2,982 35 1 3,111 39 4 4,173 54 3 3,740 23 6 4,137 27 2 2,931 26 7 4,613 61 2 4,283 30 2 3,077 22 4 3,064 46 5 4,830 66 4 5,139