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a regression analysis between weight (y in pounds) and height (x in inches) resulted in the...

a regression analysis between weight (y in pounds) and height (x in inches) resulted in the following least squares line: Y=140+5x. this implies if the height is increased by 1 inch, the weight is expected to increase on average by 5 pounds

true or false

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regression analysis between weight (y in pounds) and height (x in inches) resulted in the following least squares line: Y=140+5x. this implies if the height is increased by 1 inch, the weight is expected to increase on average by 5 pounds.

Answer :- True {

[ In the equation of a straight line (when the equation is written as "y = mx + b"), the slope is the number "m" that is multiplied on the x, and "b" is the y-intercept (that is, the point where the line crosses the vertical y-axis). ]

When X increase the value of m are increase X times.

So the given example is true.

answered by: anonymous
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