Calculate the least square regression line Y= B0+B1 x with the formula method, justifying your choice for the dependent and independent variables. Round the parameter estimates to 2.d.p B. Calculate and interpret the value of the sample the correlation coefficient r. Carry out a t-test for the null hypothesis that the true value of the correlation coefficient is equal to 0. Report the value of the correlation coefficient and test statistic round to 2.dp C. What daily expenditure per capita on food would be predicted for a household with a daily income per capita of 30 pounds

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Calculate the least square regression line Y= B0+B1 x with the formula method, justifying your choice for the dependent and independent variables. Round the parameter estimates to 2.d.p B. Calculate and interpret the value of the sample the correlation coefficient r. Carry out a t-test for the null hypothesis that the true value of the correlation coefficient is equal to 0. Report the value of the correlation coefficient and test statistic round to 2.dp C. What daily expenditure per capita on food would be predicted for a household with a daily income per capita of 30 pounds
The data in the following table are for per capita daily income and daily expenditure on
food for a sample of 7 households:
Household
1
234567
Income (£) Food Expenditure (£)
6
6
5
8
6
3
4
36
41
37
42
33
26
21
Transcribed Image Text:The data in the following table are for per capita daily income and daily expenditure on food for a sample of 7 households: Household 1 234567 Income (£) Food Expenditure (£) 6 6 5 8 6 3 4 36 41 37 42 33 26 21
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