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The least squares regression equation for the data below is y = 13.61x + 150. 87. Fat (g) 6 7 10 19 20 27 36 Calories 276 260||220||388 430 550|633 Using the equation, calculate the residual value for 10 grams of fat. 0-66.97 66.97 286.8 -285.8

The least squares regression equation for the data below is y 1361x 150 87 Fat g 6 7 10 19 20 27 36 Calories 276 260220388 430 550633 Using the equation calcula class=


Answer :

Linear regression is used commonly to predict analysis

it can also be used to identify the strength of the effect that the independent variable have on dependent variable

the equation for the linear regression is

y = 13.61x + 150.87

We have two variable x and y

x = fat in grams

to calculate the residual for 10 grams using the above equation

y = 13.61x + 150.87

where x = 10 grams

y = 13.61 (10) + 150.87

y = 136.1 + 150.387

y = 286.8

the answer is 268.8 option C

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