Data Set: {(−3,4),(−2,3),(−1,3),(0,7),(1,5),(2,6),(3,1)} 1. The regression line is: y= x 2. Based on the regression line
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Data Set: {(−3,4),(−2,3),(−1,3),(0,7),(1,5),(2,6),(3,1)} 1. The regression line is: y= x 2. Based on the regression line
Data Set: {(−3,4),(−2,3),(−1,3),(0,7),(1,5),(2,6),(3,1)} 1. The regression line is: y= x 2. Based on the regression line, we would expect the value of response variable to be when the explanatory variable is 0 . 3. For each increase of 1 in of the explanatory variable, we can expect a(n) in the response variable. 4. If x=−3.5, the y= This is an example of 5. The correlation coefficient is r= (Round to the nearest hundredth.) Your Turn: Data Set 3 Data Set: {(1,4),(2,6),(3,8),(4,10),(5,12),(6,14),(7,16)} 1. The regression line is: y=
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