The equation for a straight line between two variables, xx and yy, is y=mx+by=mx+b. In this equation, mm is the slope of the line and bb is the yy-intercept (the point at which the straight line crosses the yy-axis). When m<0m<0, the line has a negative slope. When m>0m>0, the line has a positive slope.
The correlation coefficient, rr, can be used to calculate the values of mm and bb in a linear regression.
First, use the values you have already calculated to calculate mm in this equation: m=rsysxm=rsysx. Enter your answer to the nearest whole number. (sysy and sxsx are the standard deviations of variables xx and yy.)
Solution:
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