The large national bank charges local companies for using their services. A bank official reported the results of a regression analysi designed to predict the bank's charges (Y), measured in RM per...


The large national bank charges local companies for using their<br>services. A bank official reported the results of a regression analysi<br>designed to predict the bank's charges (Y), measured in RM per<br>month for services rendered to local companies. One independent<br>variable used to predict service charge to a company is the the<br>company's sales revenue (X), measured in millions of RM. Data for 21<br>companies who use the bank's services were used to fit the model.<br>The results of the simple linear regression are provided below. Based<br>on results below, a 95% confident interval for B is (15,30). Interpret<br>the interval. *<br>ŷ = -2,700 + 20X<br>Sxy = 65,<br>two – tailed p – value = 0.034 (for testing B<br>We are 95% confident that the sales revenue (X) will increase between RM15<br>and RM30 million for every RM1 increase in service charge (Y).<br>We are 95% confident that the mean service charge will fall between RM15 and<br>RM30 per month.<br>We are 95% confident that the average service charge (Y) will increase between<br>RM15 and RM30 for every RM1 million increase in sales revenue (X).<br>At the alpha = 0.05 level, there is no evidence of a linear relationship between<br>service charge (Y) and sales revenue (X).<br>

Extracted text: The large national bank charges local companies for using their services. A bank official reported the results of a regression analysi designed to predict the bank's charges (Y), measured in RM per month for services rendered to local companies. One independent variable used to predict service charge to a company is the the company's sales revenue (X), measured in millions of RM. Data for 21 companies who use the bank's services were used to fit the model. The results of the simple linear regression are provided below. Based on results below, a 95% confident interval for B is (15,30). Interpret the interval. * ŷ = -2,700 + 20X Sxy = 65, two – tailed p – value = 0.034 (for testing B We are 95% confident that the sales revenue (X) will increase between RM15 and RM30 million for every RM1 increase in service charge (Y). We are 95% confident that the mean service charge will fall between RM15 and RM30 per month. We are 95% confident that the average service charge (Y) will increase between RM15 and RM30 for every RM1 million increase in sales revenue (X). At the alpha = 0.05 level, there is no evidence of a linear relationship between service charge (Y) and sales revenue (X).

Jun 11, 2022
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