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A researcher is interested in developing a model that can be used to distribute assistance to low-income families for food costs. She used data

A researcher is interested in developing a model that can be used to distribute assistance to low-income families for food costs. She used data from a national social survey to predict weekly amount spent on food using household income (in $1000). The resulting regression equation is Food/wk 101.33+0.77Hlncome. How much money would be needed to feed a family for a week whose household income is $12,000? O A. $193.73 OB. $871.33 OC. $110.57 O D. $9341.33


 

A researcher is interested in developing a model that can be used to distribute assistance to low-income families for food costs. She used data from a national social survey to predict weekly amount spent on food using household income (in $1000). The resulting regression equation is Food/wk = 101.33+0.77HIncome. How much money would be needed to feed a family for a week whose household income is $12,000? OA. $193.73 OB. $871.33 OC. $110.57 OD. $9341.33 A researcher gathers data on the length of essays (number of lines) and the SAT scores received for a sample of students enrolled at his university. Based on his regression results, the 95% confidence interval for the slope of the regression equation is -0.88 to 1.34. At a = 0.05, which of the following statements is true? O A. There is a statistically significant association between length of essays and SAT score. OB. The slope of the regression equation is significantly different from zero. OC. The relationship between length of essays and SAT scores is significant and negative. O D. The slope of the regression equation is not significantly different from zero.

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