Consider the following sample of production volumes and total cost data for a manufacturing operation. Production Volume (units) Total Cost ($) 400 4,000 450 4,900 550 5,300 600 5,900 700 6,400 750 7,000 This data was used to develop an estimated regression equation,  ŷ = 1,121.33 + 7.76x,  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 Ha: ?1 = 0 -H0: ?1 ≥ 0 Ha: ?1 < 0    -H0: ?0 ≠ 0 Ha: ?0 = 0 -H0: ?1 = 0 Ha: ?1 ≠ 0 -H0: ?0 = 0 Ha: ?0 ≠ 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.) Test statistic=?? 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 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.

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Consider the following sample of production volumes and total cost data for a manufacturing operation.
Production Volume
(units)
Total Cost
($)
400 4,000
450 4,900
550 5,300
600 5,900
700 6,400
750 7,000
This data was used to develop an estimated regression equation, 
ŷ = 1,121.33 + 7.76x,
 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
Ha: ?1 = 0
-H0: ?1 ≥ 0
Ha: ?1 < 0   
-H0: ?0 ≠ 0
Ha: ?0 = 0
-H0: ?1 = 0
Ha: ?1 ≠ 0
-H0: ?0 = 0
Ha: ?0 ≠ 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.)
Test statistic=??
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 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.
Expert Solution
Step 1

Sol:-

The null and alternative hypotheses for this problem are:

H0: β1 = 0 (production volume is not significantly related to total cost)

Ha: β1 ≠ 0 (production volume is significantly related to total cost)

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