Reference no: EM13244783

A CEO of a large plastics manufacturing company would like to determine if she should be placing more money allotted in the budget next year for television advertising of a new baby bottle marketed for controlling reflux and reducing gas. She wonders whether there is a strong relationship between the amount of money spent on television advertising for this new baby bottle called Gentle Bottle and the number of orders received. The manufacturing process of this baby bottle is very difficult and requires advanced quality control so the CEO would prefer to generate a stable number of orders. The cost of advertising is always an important consideration in the phase I roll-out of a new baby bottle. Data that have been collected over the past 20 months indicate the amount of money spent of television advertising and the number of orders received.

The use of linear regression is a critical tool for a manager's decision-making ability. Please carefully read the example below and try to answer the questions in terms of the problem context. The results are as follows:

Month	Advertising Cost	Number of Orders
1	$77,430.00	2,902,000
2	62,620	3,800,000
3	69,580	3,299,000
4	50,670	2,430,000
5	69,180	3,367,000
6	73,140	4,011,000
7	83,370	4,888,000
8	78,880	4,935,000
9	64,990	5,555,000
10	77,230	4,654,000
11	61,380	5,598,000
12	62,900	2,967,000
13	63,270	2,899,000
14	89,190	4,245,000
15	60,030	4,934,000
16	79,210	3,853,000
17	65,770	5,625,000
18	84,530	5,778,000
19	79,760	5,999,000
20	82,640	6,834,000

a. Set up a scatter diagram and calculate the associated correlation coefficient. Discuss how strong you think the relationship is between the amount of money spent on television advertising and the number of orders received. Please use the Correlation procedures within Excel under Tools > Data Analysis. The Scatterplot can more easily be generated using the Chart procedure.

NOTE: If you do not have the Data Analysis option under Tools you must install it. You need to go to Tools select Add-ins and then choose the 2 data toolpak options. It should take about a minute.

b. Assuming there is a statistically significant relationship, use the least squares method to find the regression equation to predict the advertising costs based on the number of orders received. Please use the regression procedure within Excel under Tools > Data Analysis to construct this equation.

c. Interpret the meaning of the slope, b₁, in the regression equation.

d. Predict the monthly advertising cost when the number of orders is 4,800,000.

e. Compute the coefficient of determination, r², and interpret its meaning.

f. Compute the standard error of estimate, and interpret its meaning.

g. Do you think that the company should use these results from the regression to base any corporate decisions on?....explain fully.