8 - Prediction Part 1

8 - Prediction Part 1 - Chapter : Prediction (aka...

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Chapter : Prediction (aka Regression) Use correlations to determine the strength and direction of relation between X and Y What if we want to predict a person’s score on Y ( Y’ ) based on X score? To do this, we can construct a regression line that best describes our data
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Regression line gives a predicted Y value (Y’) for every value of X (we “regress” Y onto X) Oftentimes Y’ will not be the same as Y In other words predicted Y scores can deviate from actual Y scores Stronger correlation between X and Y will mean more accurate predictions
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Might remember the equation for a straight line from algebra: Y = bX + a b is slope amount of rise or drop in line per unit of X X is a specific score on X a is intercept value of Y’ when X is zero Regression equation represents a straight line, so assumption of linearity of relation Line is line of “best fit” ( regression line )
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Line of Best Fit Scatterplot of Religious Involvement and Self- Esteem 0 2 4 6 8 10 0 10 20 30 40 50 Religious Involvement
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8 - Prediction Part 1 - Chapter : Prediction (aka...

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