NAME: raadon Themas DATE: INSTRUCTOR: SECTION: Show all work for full credit. 1.
ID: 576182 • Letter: N
Question
NAME: raadon Themas DATE: INSTRUCTOR: SECTION: Show all work for full credit. 1. The equation for the regression line follows the formula y- cept. The y-intercept of the regression line should be zero. Wh calculated values to the expected value? y-mx+ b, where b is the y-inter- y? How close are your When you plotted the regression line, you had the option of displaying the R-squared value on the graph. What are the R-squared values for your graphs? What do these values indicate about the fit of your data? .Explanation / Answer
1.
The y- intercept of regression line should be zero because we dosen't want it to cross y- axis. If slope is positive the function run uphills and if slope is negative the function run downhills. If the slope is zero y does not change , thus is constant horizontal line. Calculated value are very very close to expected value.
2.
R-square is a statistical measure of how close the data are to the fitted regression line. It is also known as the coefficient of determination, or the coefficient of multiple determination for multiple regression
R-squared = Explained variation / Total variation
R-squared is always between 0 and 100%:
The higher the R-squared, the better the model fits your data.
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