PLEASE ANSWER ASAP

You may need to use the appropriate technology to answer this question.

Consider the following sample of production volumes and total cost data for a manufacturing operation.

Production Volume (units)	Total Cost ($)
400	3,900
450	5,000
550	5,300
600	5,800
700	6,500
750	7,000

This data was used to develop an estimated regression equation,

= 1,029.33 + 7.92x,

relating production volume and cost for a particular manufacturing operation. Use

= 0.05

to test whether the production volume is significantly related to the total cost. (Use the F test.)

State the null and alternative hypotheses.

H₀: ₁ = 0 H_a: ₁ 0H₀: ₀ = 0 H_a: ₀ 0 H₀: ₀ 0 H_a: ₀ = 0H₀: ₁ 0 H_a: ₁ < 0H₀: ₁ 0 H_a: ₁ = 0

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

Find the value of the test statistic. (Round your answer to two decimal places.)

Find the p-value. (Round your answer to three decimal places.)

p-value =

What is your conclusion?

Reject H₀. We cannot 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 conclude that the relationship between production volume and total cost is significant.Do not reject H₀. We cannot conclude that the relationship between production volume and total cost is significant.