1.Produce ten scatter plot graphs with the number of pizzas sold as the predictor variable. The scatter plot graphs for the nine expenses and total costs should show the actual data points.

2.Add a trend line, regression output, and R-square statistic for each scatter plot graph. [The number of pizzas is the independent variable (X) and the cost data is the dependent variable (Y).]

3.A summary table by using selected data from the regression output: the constant (a), the X coefficient (b), and the R-square statistic for each cost item. A check row should be used to total the "a" and "b" coefficients for the nine expenses. These totals should be equal to the regression output for the total expense line.

4.Time series scatter plot graphs for the cost items. (Several cost items could be combined on one graph).

5.The time series plots may reveal information about cost behavior patterns that are more useful for predictive purposes than the regression data based on volume. For each cost equations, please explain whether the regression equation or the time series graph is a better predictor of costs.

Month Pizzas Sold Ingredients Sal & Wages Advertising Depreciation Utilities Supplies Taxes Insurance Miscellaneous Total January 1400 $4,633 $6,340 $135 $600 $658 $252 $320 $150 $716 $13,804 February 1600 $5,126 $6,799 $145 $600 $709 $322 $320 $150 $927 $15,098 March 1700 $5,281 $7,180 $156 $600 $579 $256 $320 $150 $1,052 $15,574 April 1650 $5,097 $7,022 $154 $600 $554 $268 $320 $150 $688 $14,853 May 1500 $4,633 $6,634 $155 $600 $688 $265 $320 $150 $692 $14,137 June 1000 $3,243 $5,483 $142 $600 $753 $257 $320 $150 $1,010 $11,958 July 900 $3,054 $5,478 $130 $600 $801 $252 $380 $150 $1,171 $12,016 August 1100 $3,407 $5,923 $143 $600 $845 $270 $380 $150 $983 $12,701 September 1400 $4,601 $6,561 $162 $600 $737 $307 $380 $150 $873 $14,371 October 1500 $4,938 $6,656 $147 $600 $630 $274 $380 $190 $871 $14,686 November 1400 $4,295 $6,040 $134 $600 $616 $234 $380 $190 $1,349 $13,838 December 1300 $4,169 $6,100 $131 $600 $648 $263 $380 $190 $1,241 $13,722 Total 16450 $52,477 $76,216 $1,734 $7,200 $8,218 $3,220 $4,200 $1,920 $11,573 $166,758