9.2 Regression

Match the regression equation with the appropriate graph.

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The number of goals scored and the number of wins for the top 10 teams in the 2016 - 2017 English Premier League season are displayed in the chart. Find the equation of the regression line for the data.

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Using the regression equation for the number of goals scored and the number of wins for the top 10 teams in the 2016 -2017 English Premier League season, predict the value of y for x = 50 goals.

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Using the regression equation for the number of goals scored and the number of wins for the top 10 teams in the 2016 -2017 English Premier League season, predict the value of y for x = 70 goals.

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Using the regression equation for the number of goals scored and the number of wins for the top 10 teams in the 2016 -2017 English Premier League season, predict the value of y for x = 75 goals.

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Which of the following x-values is not meaningful to predict the value of y?

• x = 64 goals

• x = 48 goals

• x = 29 goals

• x = 81 goals

Why is it not appropriate to use the equation of the regression line for the data to predict the value of y if x = 95 goals?

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