In: Statistics and Probability
Consider the following sample of production volumes and total cost data for a manufacturing operation.
Production
Volume (units) |
Total Cost ($) |
---|---|
400 | 4,000 |
450 | 5,000 |
550 | 5,300 |
600 | 5,900 |
700 | 6,400 |
750 | 6,900 |
This data was used to develop an estimated regression equation, ŷ = 1,305.33 + 7.44x, relating production volume and cost for a particular manufacturing operation. Use α = 0.05 to test whether the production volume is significantly related to the total cost. (Use the F test.)
(a) State the null and alternative hypotheses.
(b)Set up the ANOVA table. (Round your p-value to three decimal places and all other values to two decimal places.)
Source of Variation |
Sum of Squares |
Degrees of Freedom |
Mean Square |
F | p-value |
---|---|---|---|---|---|
Regression | |||||
Error | |||||
Total |
(c)Find the value of the test statistic. (Round your answer to two decimal places.)
(d)Find the p-value. (Round your answer to three decimal places.)
(e)What is your conclusion?
Do not reject H0. We cannot conclude that the relationship between production volume and total cost is significant.
Reject H0. We conclude that the relationship between production volume and total cost is significant.
Do not reject H0. We conclude that the relationship between production volume and total cost is significant.
Reject H0. We cannot conclude that the relationship between production volume and total cost is significant.