- A) Statistics Assignment Sample
|Source of Variation||Degree of Freedom||Sum of Squares||Mean Square||F-Value||P-Value|
|Within Treatments (Error)||20||120||6|
P-Value = 0.022077, the result is not significant at p<0.01
- B) Effect Size = Sum of Squares of error/total sum of squares
- C) From the table the total treatment = I-1=3
= 4 treatments.
Observation in each group = I (J-1) = 20
= 4(J-1) =20
Total Number of freedom = n-1 = 23
= n = 24.
Note: Please refer to Excel sheet for Question 2.
Mention below is the formula used to find the a & b from which we have find yhat
- F-test = larger sample variance/ smaller sample variance
Note: For both part check the excel sheet (a & b)
y = -0.2521x + 22.95
F=51.09244 (df = 5)
Here slope indicates the negative linear relationship as the price goes up by $1 the number of unit sold goes down by 0.2521x