PSCI 2702 Lecture Notes - Statistical Significance, Regression Analysis
7 Jul 2014
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Class 10 psci2702a march 19, 2014. The independent variable is typically the x axis. In the case of andrea"s example, x is the number of children and y is the number of hours worked per week. Overall, it explains the change in our dependent. X (independent) is horizontal, and y (dependent) is vertical. Regression line helps us predict a future value. Can be used to predict how many hours per week somebody does housework given a certain value. But the size of the sample greatly affects this predictability; a small sample means lesser accuracy. Regression analysis used to predict a y score based on our observations and assuming a value of the independent. The formula for the simple regression line is: y =a+bx. Where a is the y intercept; the point where the regression line crosses the y axis: the value of your dependent assuming the independent is 0.
