Select ] Develop a linear regression model for ice cream sales over daily temperature. Show the linear equation in the form of y = ax + b, and the coefficient of determination. [ Select ] What would be the projected forecast of ice cream sales in units, for daily temperature of 94 F? { Select ] On July 15 & 16 there were heavy down pour of rain, which might have prevented some to venture out to purchase ice cream during the day. If you were to override those 2 data points, what would be the linear regression model be (by deleting July 15 & 16 data). [Select ] Compare the two coefficients of determination, which would be considered a better forecast for ice cream sales [ Select ] Develop a linear regression on ice cream sales to crime statistics. Show the linear equation in the form of y = ax + b, and the r-square value. [sSelect ] Does this correlation demonstrate causation, that high ice cream sales