Question

aren 8, 2012) rer these data In eerose 20, data on x-weght(pounds) and y-price ($) for ten roed-racing bikes provided the estimated regression equation SSE 7,102,922.54 and SST-52,120,800. Use the F test to determine whether the weight for data -28574-1435xくBicycling website, M a bike and the price are related at the 05 level of significance. Click on the webfile logo to reference the WEB Calculate the value of the test stotistic (to 1 decimal) 1.4 The p value is ess than What is your conclusion? Conclude that weight and price are reloted Hide Feedback Partially Correct Check My Work
The follawing data give the pencentage of women working in five companies in the retail and trade industry. The percentage of management jobs held by women in each company is aso shown %working | 68 45 73 55 61 %Management| SO 22 65 48 34 a. From the following select the appropriate scatter diagram for these data with the percentage of women working in the company as the independent variable. Scatter diagram a Management 60 50 40 20 10 Scatter diagram b 60
%Management 60 50 40 30 20 10 10 2030 40 50 60 Working Scatter dingram b. What does the scatter diagram developed in part (o) indicate about the relationship between the two variables? Positive linear relationship c. Develop the estimated regression equation by computing the values bo and bi Enter negative values as negative numbers. Round your answers to one decimal place 9-34.6 13 d. Predict the percentage or management jobs held by women in a company that has 60% women employees. Round your answers to nearest whole value. 9% 41 % Hide Feedback Partially Correct
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Answer #1

Answer:

DF

SS

MSS

F

Regression

1

45017897.46

45017897.4600

114.0829

Error

18

7102922.54

394606.8078

Total

19

52120820

Test statistic = 114.1 ( 1 decimal)

c). Regression line: y = -33.9 + 1.3x

Regression Analysis

0.742

n

5

r

0.861

k

1

Std. Error of Estimate

9.621

Dep. Var.

y

Regression output

confidence interval

variables

coefficients

std. error

   t (df=3)

p-value

95% lower

95% upper

Intercept

a =

-33.875

x

b =

1.286

0.438

2.938

.0606

-0.107

2.679

ANOVA table

Source

SS

df

MS

F

p-value

Regression

799.127

1  

799.127

8.63

.0606

Residual

277.673

3  

92.558

Total

1,076.800

4  

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