Question

In: Statistics and Probability

Question #11 – Regression Analysis Use the data provided to: Perform the “Tests to Check the...

Question #11 – Regression Analysis

Use the data provided to:

  • Perform the “Tests to Check the Validity of a Regression”
    • Show both the calculated and critical values
  • Estimate Y when X = 4 (round to 2 decimal places)

Use a level of significance of 5% (α = .05).

Clearly show the null and alternate hypothesis.

Graphs are not required.

X

Y

3

14

7

26

6

23

4

17

7

28

5

20

8

29

2

11

Solutions

Expert Solution

x y (x-x̅)² (y-ȳ)² (x-x̅)(y-ȳ)
3 14 5.06 49.00 15.75
7 26 3.06 25.00 8.75
6 23 0.56 4.00 1.50
4 17 1.56 16.00 5.00
7 28 3.06 49.00 12.25
5 20 0.06 1.00 0.25
8 29 7.56 64.00 22.00
2 11 10.56 100.00 32.50
ΣX ΣY Σ(x-x̅)² Σ(y-ȳ)² Σ(x-x̅)(y-ȳ)
total sum 42 168 31.500 308.0 98.00
mean 5.25 21.00 SSxx SSyy SSxy

sample size ,   n =   8          
here, x̅ = Σx / n=   5.25   ,     ȳ = Σy/n =   21.00  
                  
SSxx =    Σ(x-x̅)² =    31.5000          
SSxy=   Σ(x-x̅)(y-ȳ) =   98.0          
                  
estimated slope , ß1 = SSxy/SSxx =   98.0   /   31.500   =   3.1111
                  
intercept,   ß0 = y̅-ß1* x̄ =   4.6667          
                  
so, regression line is   Ŷ =   4.6667   +   3.1111   *x

SSE=   (SSxx * SSyy - SS²xy)/SSxx =    3.111
      
std error ,Se =    √(SSE/(n-2)) =    0.720

........

slope hypothesis test               tail=   2
Ho:   ß1=   0          
H1:   ß1╪   0          
n=   8              
alpha =   0.05              
estimated std error of slope =Se(ß1) = Se/√Sxx =    0.720   /√   31.50   =   0.1283
                  
t stat = estimated slope/std error =ß1 /Se(ß1) =    3.1111   /   0.1283   =   24.2487
                  
t-critical value=    2.447   [excel function: =T.INV.2T(α,df) ]          
Degree of freedom ,df = n-2=   6              
decison : test stat > critical value , reject Ho              
Conclusion:   Reject Ho and conclude that slope is significantly different from zero              

so regression is significant

...............

Predicted Y at X=   4   is                  
Ŷ =   4.66667   +   3.111111   *   4   =   17.111



Related Solutions

i. Use MS Excel Data Analysis ToolPak to perform a multiple regression analysis using Quality as...
i. Use MS Excel Data Analysis ToolPak to perform a multiple regression analysis using Quality as the response variable and Helpfulness and Clarity as the explanatory variables. Write down the corresponding coefficient estimates and provide the regression output. j. Perform an F-test for the overall usefulness of the model in part i) using a 5% significance level. Make sure you follow all the steps for hypothesis testing indicated in the Instructions section and clearly state your conclusion. k. Test manually...
(20 pts) Use the “Distance.sav” (SPSS) data set (located below) to perform a linear regression analysis....
(20 pts) Use the “Distance.sav” (SPSS) data set (located below) to perform a linear regression analysis. This dataset shows how far on average a person in Illinois drives each year. Write your findings using the format presented in the class slides. (2 pts) How much of the variation in the dependent variable is explained by the variation in the independent variable? What statistic did you use? (2 pts) Is the linear model significantly different than zero? Why or why not?...
Multivariate analysis Using the data provided, perform the following analysis: Determine the explanatory and response variables....
Multivariate analysis Using the data provided, perform the following analysis: Determine the explanatory and response variables. Run a multivariate regression analysis on all three variables. Interpret the results by answering the following questions: What is the calculated correlation coefficient? Do the sales figures correlate with the marketing expenditure and price? Comment on the coefficient of determination. What percentage of the response data can be explained by the explanatory variables? Determine the multiple regression line equation in the form: sales^ =...
Part 3: Risk analysis and project evaluation 3.1 Perform a scenario analysis on the data provided...
Part 3: Risk analysis and project evaluation 3.1 Perform a scenario analysis on the data provided Case Study: Assume that the company, where you are working as a team in Financial Department, is considering a potential project with a new product that is expected to sell for an average price of $22 per unit and the company expects it can sell 650 000 unit per year at this price for a period of 4 years. Launching this project will require...
Refer to the TV Revenue data set. Perform a complete multiple regression analysis that might be...
Refer to the TV Revenue data set. Perform a complete multiple regression analysis that might be used to predict net revenue using all provided explanatory variables (there are 4 explanatory variables). Complete all steps for the multiple regression as outlined in class and modify the original model if necessary. Use an alpha = .10 for all hypotheses tests. Make sure you show each required step for any hypothesis test. Provide all required Minitab output with your written responses. Obs NetRevenue...
** Use R for the following analysis. Use the BoneAcid.xlsx data to check what is causing...
** Use R for the following analysis. Use the BoneAcid.xlsx data to check what is causing the variation in the acid content in bones among 42 male skeletons from 2 cemeteries. The independent variables included are internment lengths, ages, depths, lime addition and contamination in soil. Variables/Columns Burial Site   (1 or 2) Internment Time (Years) Burial Depth (feet)    LimeAdded (at internment) (1=Yes, 0=No) Death_Age (Age of Person at the time of death) Acid Level (g/100g of bone) Contamination (In soil)...
Regression analysis question. I wanna use Regression analysis to incorporate sales of a protein powder. Maybe...
Regression analysis question. I wanna use Regression analysis to incorporate sales of a protein powder. Maybe the price vs sales or how it would go up or down based on price? What could i go with? I have to think of a problem dealing with two possibly related variables (Y and X) that im interested in. Please create my problem and discuss why a regression analysis could be appropriate for this problem Specifically, what statistical questions would I be asking?...
Perform a scenario analysis with data provided Assume that your selected company is considering a potential...
Perform a scenario analysis with data provided Assume that your selected company is considering a potential project with a new product that is expected to sell for an average price of $30 per unit and the company expects it can sell 350,000 units per year at this price for a period of 4 years. Launching this project will require purchase of a $3,500,000 equipment that has residual value in four years of $500,000 and adding $ 1,000,000 in working capital...
Give three ways to check for outliers in a regression analysis.
Give three ways to check for outliers in a regression analysis.
The standard project is to use multiple regression analysis to analyze a data set. The data...
The standard project is to use multiple regression analysis to analyze a data set. The data set is a study of student persistent enrolling in the next semester based on Gender, Age, GPA, a 22 questionnaire on self-efficacy, and student enrollment status. The educational researcher wants to study the relationship between student enrollment status as it relates to gender, age, GPA, and the total response to a 22 questionnaire survey. a. The estimated multiple regression analysis equation. b. Does the...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT