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
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
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.5: Comparing Sets Of Data
Problem 14PPS
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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
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