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By looking at the equation of the least-squares regression line, you can see that the correlation between height and arm span is (a) greater than zero. (b) less than zero. (c) 0.93 . (d) 6.4 (e) Can't tell without seeing the data.

Sagot :

As per the given least square regression line, the correlation between the height and the arm span is (a) greater than zero.

Regression line:

In statistics, regression line refers the an estimate of the line that describes the true, but unknown, linear relationship between the two variables.

Given,

Here we need to find the correlation between the height and the arm span by using the given least square regression line.

Let us consider the following situation,

"Measurements on young children in Mumbai, India, found this least‐ squares line for predicting height (y) from arm span (x): predicted y = 6.4 + 0.93x. Measurements are in centimeters (cm)."

While we looking into this one we have identified that the predicted function y = 6.4 + 0.93x, is defines the value of height.

So, here y is the dependent variable and the x is the independent value.

This means that the value x is smaller comparatively y value.

To know more about Regression line here.

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