Below you are given a partial Excel output based on a sample of 16 observations. The interpretation of the coefficient of x1 is that a one-unit change in x 1 will lead to a 3.682-unit decrease in y It is impossible to interpret the coefficient. a one-unit increase in 1 will lead to a 3.682-unit decrease in 2 when all other variables are held constant a one-unit increase in 1 will lead to a 3.682-unit decrease in y when all other variables are held constant A regression model between sales ( y in $1000 s), unit price (x1 in dollars) and television advertisement ( x2 in dollars) resulted in the following function: Y=73x1+5x2 For this model, SSR=3500, SSE =1500, and the sample size is 18 . The coefficient of the unit price indicates that if the unit price is increased by $1 (holding advertising constant), sales are expected to decrease by $3000 increased by $1 (holding advertising constant), sales are expected to increase by $4000 decreased by $1 (holding advertising constant), sales are expected to decrease by $3 increased by $1 (holding advertising constant), sales are expected to increase by $3 The value of a correlation is reported by a researcher to be r2=0.5. Which of the following statements is correct? The x-variable explains 25% of the variability in the y-variable The x-variable explains 50% of the variability in the y-variable. The y-variable explains 50% of the variability in the y-variable. The y-variable explains 25% of the variability in the x-variable In general, the Least Squares Regression approach finds the equation: of the best fitting straight line through a set of points with the highest R2, after comparing all possible models that has the smallest sum of squared errors that includes the best set of predictor variables