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0 Write the linear regression model. y(x)y(x) : 0 Predict the response value when x = 130. y(130)y/{ 130) = Problem Set C2 Estimate a

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0 Write the linear regression model. y"(x)y\"\\(x) : 0 Predict the response value when x = 130. y\"(130)y/\\{ 130) = Problem Set C2 Estimate a Linear Regression Model from Data (Fill in the Blank) Fill in the Blank : Each correct answer earns 1 point. Trtmk fat is adipose (fatty) tissue around a person's torso. Insulin is a hormone that regulates the amount of glucose (sugar) in the blood stream, and an insulin unit is a measure of an amount of insulin. There is suspicion that trunk fat is positively correlated to the amount of insulin. To investigate this suspicion, we will analyze the amount of trunk fat (in kilograms) and the amomit of insulin (in microimits per milliliter) of 5 adults older than 45 years. Assume the fat trunk observations are represented by Xi, and the insulin unit observations are represented by yi. Using these observations fill in the cells of the following table, estimate the linear regression model, and calculate the residual standard error. The three dashes "---" in the cells indicate that filling those cells is not required. You will need to answer the questions in the bullet points below the table so that you may complete all the cells. A Table of Intermediate Calculations m yiy_ (yimryim (xi-(yi- Y\"(Xi)y"(xi) -a--__ --- ---__ --.-__ ---, -=--____x ' Calculate the mean trunk fat. x_ =

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