Suppose we use a person\'s dad\'s height to predict how short or tall the person

Question

Suppose we use a person's dad's height to predict how short or tall the person will be by building a regression model to investigate if a relationship exists between the two variables. Suppose the regression results are as follows: Least Squares Linear Regression of Height What conclusion would you make at alpha = .05 when conducting a test to determine if there is a positive linear relationship between the variables? There is sufficient evidence to indicate that dad's height is a positive linear predictor of height There is insufficient evidence to indicate that dad's height is a positive linear predictor of height There is sufficient evidence to indicate that dad's height is a negative linear predictor of height There is sufficient evidence to indicate that dad's height is not a positive linear predictor of height

Explanation / Answer

Since the p value for the slope coefficient is 0.0002 which shows significance, there is sufficient evidence to conclude that dad's height is a positive linear predictor for height.

Option A is correct.

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