essary.) Data Set: {(0, 7), (1, 5), (1.5, 3), (2, 5), (2.3, 3.2), (3, 2), (3.5, 4)} 1. The regression line is: y = 2. Based on the regression line, we would expect the value of response variable to be...


07,15,1.5,3,2,5,2.3,3.2,3,2,3.5,4 find the line of regression


essary.)<br>Data Set: {(0, 7), (1, 5), (1.5, 3), (2, 5), (2.3, 3.2), (3, 2), (3.5, 4)}<br>1. The regression line is: y =<br>2. Based on the regression line, we would expect the value of response variable to be<br>when the explanatory variable is 0. (NOTE: This is the y-intercept.)<br>3. For each increase of 1 in of the explanatory variable, we can expect a(n)<br>+ of<br>in the response variable. (NOTE: This is the slope.)<br>4. If x = 2.5, the ŷ<br>. This is an example of<br>%3D<br>5. The correlation coefficient is r =<br>

Extracted text: essary.) Data Set: {(0, 7), (1, 5), (1.5, 3), (2, 5), (2.3, 3.2), (3, 2), (3.5, 4)} 1. The regression line is: y = 2. Based on the regression line, we would expect the value of response variable to be when the explanatory variable is 0. (NOTE: This is the y-intercept.) 3. For each increase of 1 in of the explanatory variable, we can expect a(n) + of in the response variable. (NOTE: This is the slope.) 4. If x = 2.5, the ŷ . This is an example of %3D 5. The correlation coefficient is r =

Jun 08, 2022
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