I think you have to divide
<span>expressions for the mean and standard deviation of y if this variable is determined by the expression y
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The answer is 11.2 which means 11 1/5
<em>c. the least squares method. </em>
Regression equation:
In simple linear regression, the predicted value of the dependent variable is given by the equation = b0 + b1x. The values of b0 and b1 are calculated from the data so that the line = b0 + b1X minimizes the total sum of squared errors (error is the difference between the predicted value and the actual value of y).
Least squares method:
The least squares method is a statistical procedure to find the best fit for a set of data points by minimizing the sum of the offsets or residuals of points from the plotted curve.
Learn more about Regression Equation on:
brainly.com/question/16438646
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Well u add your problem and get your answer
