(a) Assuming that a simple linear regression model is appropriate, obtain the least squares fit relating selling price to taxes paid. What is the estimate of o²? (b) Find the mean selling price given that the taxes paid are x = 7.50. (c) Calculate the fitted value of y corresponding to x = 5.8980. Find the corresponding residual.

answer a,b,c

Use a graphing calculator to create a scatter plot and find the line of best fit and the correlation coefficient for the following data. Round to the nearest hundredth. X 5 10 15 20 25 30 35 y 1,800 1,750 1,590 1,490 1,400 1,275 1,010

Mark Gershon, owner of a musical instrument distributorship, thinks that demand for guitars may be related to the number of television appearances by the popular group Maroon 5 during the previous month. Gershon has collected the data shown in the following table: Maroon 5 TV Appearances Demand for Guitars Y = This exercise contains only parts b, c, and d. b) Using the least-squares regression method, the equation for forecasting is (round your responses to four decimal places): + 4 2 X 5 7 5 9 7 6 7 6 10 7

The number of auto accidents in Athens, Ohio is related to the regional number of regisgtered automobiles in thousands (X1) alcholic beverage sales in $10,000 (X2) and rainfall in inches (X3). Furthermore the regression formula has been calculated as:             y=a+b1X1+b2x2+b3X3 where  y= number of automobile accidents a=  8.0  b1= 3.5 b2=5.0 b3= 2.4  For the given values of X1,X2, and X3, the expected number of accidents will be ( round your responses to one decimal place)                 X1           X2              X3            # of accidents                  6.0           7.0             0.0               [__]