Data Set: { (1, - 2.5), (2, -4), (3, -5.5), (4, -6), (5, -6.5), (6, -8), (7, -8.5) } 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. 3. For each increase of 1 in of the explanatory variable, we can expect a(n) decrease of in the response variable. 4. If - 2.5, they This is an example of interpolation 5. The correlation coefficient is r = (Round to the nearest hundredth.)