Four different assembly processes were under consideration. Sixteen workers were randomly assigned to the four processes, eight per process. The number of correctly assembled units in an eight-hour work shift was recorded:

Process 1 Process 2 Process 3 Process 4
31 29 28 32
36 32 36 33
36 35 29 33
34 32 31 31

a. What is the value of SSF
b. What is the value of SST
c. What is the value of SSE
d. With the alpha = 0.05, is there a significant difference between the four process?

1. x= 1, 1, 5, 5
y= 1, 3, 2, 4
The regression equation is y = 1.75 + 0.25x
2. What can you say about SSE, SSR, and the utility of the regression equation for making predictions if
a. r^2 = 1
b. r ^2 = 0?

Use a simple regression model to test the null hypothesis against the alternative
Ho: Beta1 = 0
H1: Beta1 Does NOT = 0
with alpha = 0.05 , given the following regression statistics:
a. The sample size is 35, SST = 100,000, and the correlation between X and Y is 0.46.
b. The sample size is 61, SST = 123,000, and the corr

Can you please show me calculations as how to obtain the answer?
The following data represent the number of weed-eaters sold per month at a local garden shop and their prices
Price x $34 36 32 35 30 38 40
Units sold y 3 4 6 5 9 2 1
a. Compute SST, SS

16) A) Calculate SSxx, SSyy, and SSxy.
B) Calculate the slope and intercept.
C) Calculate SSE, SSR, and SST.
D) Use the sums to calculate the R2.
Hours Worked (X) Weekly Pay (Y)
10 93
15 171
20 204
20 156
35 261

Answer the following questions:
a) If r^2 = 0.95, n = 11 and the ∑ (y − y) 2 = 100, what is S (2 -- e) or S^2 y\x ?
b) If r^2 = 1, then S (2 -- e) in (1a) can be shown to have what type of relationship with SST and SSR?
c) What relationship exists between y-hat and Y where r^2 = 1?
d) What relationship exists bet

2) The following is sample information. Test the hypothesis that the treatment mean are equal. Use the .05 significance level.
Treatment 1 Treatment 2 Treatment 3
8 3 3
6 2 4
10 4 5
9 3 4
A. State the null hypothesis and alternate Hypotheses
Ho: u1 = u2 = u3; Treatment means that are not the same
B. What is the

Given the information below calculate SST, SSR, and SSE, determine the coefficient of determination then use ANOVA and the 0.05 level in testing whether r2 is significantly different from zero.
x: 4 1 4 6 least squares equation
y: 381 403 394 385 y = 404.94 - 3.78x

Chpt 12: Inferences Pairs of Treatment Means Assignment
The following are six observations collected from treatment 1, ten observations collected from treatment 2, and eight observations collected from treatment 3. Test the hypothesis that the treatment means are equal at the .05 significance level.
Treatment 1 Treatment 2

In a regression analysis, the sum of the squared deviations between y and y-bar is SST = 200.0. If the sum of the squared deviations about the regression line is SSE + 40.0, what is the coefficient of determination?