The following problem information is to be used for problems 5 through 11. Suppose that a company was trying to relate the number of units ordered to the offered price of the product. The computer printout provided the following equation: Number of Units=1000- 20 Price Additionally, the printout gave the following information about the Price coefficient, the R-square value and the Standad Error of the Regression. PREDICTOR COEF SE COEF T P Price -20 2 2.04 ,015 S=50 R-Sq=80 What percent of the variation in NUMBER OF UNITS can be associated with the PRICE being offered? Question 6 What is the nature of the relationship (note the sign of the slope)? Positive O Negative Question 7 If the price were to increase $1, what would be the anticipated change in Number of Units Ordered? -20 86.32 Question 8 Given the generic model of y bo byx, the null hypothesis would be Ho: b-0 1.52 pt: 1.52 pts 1.52 pts