1. An equal number of families from eight different cities of various sizes were asked their fami...
1. An equal number of families from eight different cities of various sizes were asked their family incomes and how much ney they spent for food, clothing, and housing per year. The city sizes (x1), average annual family income (2), and average family expenditure (y) are summarized below. (City size in 1000s, family income and expenditure in $100s.) City Size ( 30 50 75 100 150 200 175 120 Income (x2) Expenditure (y):65 77 7980 82 90 84 81 122 230 144 280 278 197 230 190 (a) We first study the relationship between City sizes () and expenditure (y). The following quantities can be easily computed. Σ y-51236; у= 79.75: Σή.-126550: ri = 112.5: Σχι-74445 i. Complete the ANOVA table ModelIANOVA Table SourceDf SS MS F Value P-value Model (1) 4 ( (8) E 2) 73.7253 Tota 003 ii. If model Vi = β0 + β! xi-+티 with 티 ~iid. N(0, σ2) is fit to the data using LS techniques, compute Bo, Bi and their estimated standard errors. iii. Fild the 99% confidence interval for β1 and interpret iv. Given a city that has a population of 100,000 people find the 95% prediction interval for its average family annual expenditure
1. An equal number of families from eight different cities of various sizes were asked their family incomes and how much ney they spent for food, clothing, and housing per year. The city sizes (x1), average annual family income (2), and average family expenditure (y) are summarized below. (City size in 1000s, family income and expenditure in $100s.) City Size ( 30 50 75 100 150 200 175 120 Income (x2) Expenditure (y):65 77 7980 82 90 84 81 122 230 144 280 278 197 230 190 (a) We first study the relationship between City sizes () and expenditure (y). The following quantities can be easily computed. Σ y-51236; у= 79.75: Σή.-126550: ri = 112.5: Σχι-74445 i. Complete the ANOVA table ModelIANOVA Table SourceDf SS MS F Value P-value Model (1) 4 ( (8) E 2) 73.7253 Tota 003 ii. If model Vi = β0 + β! xi-+티 with 티 ~iid. N(0, σ2) is fit to the data using LS techniques, compute Bo, Bi and their estimated standard errors. iii. Fild the 99% confidence interval for β1 and interpret iv. Given a city that has a population of 100,000 people find the 95% prediction interval for its average family annual expenditure