Question

Question 1- Choose the best option I-When calculating an F ratio for an ANOVA test, what...

Question 1- Choose the best option

I-When calculating an F ratio for an ANOVA test, what is the general pattern?

a. There is no relationship between F ratio and p-value

b. F ratio equal the p-value

c. F ratio is always greater than the p-value

d. In general, the smaller the F ratio the smaller the p-value.

e. In general, the larger the F ratio the smaller the p-value.

II-Which of the following tools is not appropriate for studying the relationship between two numerical variables?

a. Correlation coefficient

b. None of the above.

c. Regression

d. Scatter plot

e. Histogram

III-Which of the following cannot be answered from a linear regression equation?

a. Predict the value of Y at a particular value of X

b. Estimate the slope coefficient between X and Y

c. Estimate whether the linear relationship between X and Y is positive or negative

d. Estimate whether the relationship between X and Y is linear or non-linear.

e. None of the above.

IV-Which of the following cannot be used to assess the goodness of fit of a regression model?

a. R-squared

b. Residual plots

c. F-test (ANOVA)

d. Chi-square test

e. Standard error of estimate

Homework Answers

Answer #1

I-When calculating an F ratio for an ANOVA test, what is the general pattern?

in general, the larger the F ratio the smaller the p-value.

II-Which of the following tools is not appropriate for studying the relationship between two numerical variables?

Histogram

III-Which of the following cannot be answered from a linear regression equation?

Estimate whether the relationship between X and Y is linear or non-linear.

IV-Which of the following cannot be used to assess the goodness of fit of a regression model?

Chi-square test

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. 6)...
MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. 6) Consider the following dataset: ID V W X Y Z 1 10 2 8 Group 1 A 2 2 8 3 Group 1 A 3 2 8 5 Group 2 A 4 2 10 2 Group 2 A 5 5 2 5 Group 2 A 6 5 5 3 Group 1 B 7 10 7 1 Group 2 B 8 2 9 10 Group...
Please answer the question briefly and clearly. 1. The best model to describe a linear relationship...
Please answer the question briefly and clearly. 1. The best model to describe a linear relationship between two variables is the _______. 2. An assumption of linear regression states that for each value of X, there is a group of Y values that are statistically (Independent) and (normally distributed) about the regression line. 3. If the slope of a regression line is zero, the orientation of the regression line is (Flat, or Constant), which indicates a lack of a relationship....
3. The accountant at Walmart wants to determine the relationship between customer purchases at the store,...
3. The accountant at Walmart wants to determine the relationship between customer purchases at the store, Y ($), and the customer monthly salary, X ($). A sample of 15 customers is randomly selected and the results are summarized in the ANOVA table below: df SS Regression 1 186952 Residual 13 99236 Total 14 286188 Coefficients Standard Error t Stat p-value Intercept 78.58 7.540 1.202 0.035 Salary 0.066 0.013 4.948 0.003 a. What is the estimated regression equation that relates the...
A business analyst with AF Ferguson's research and advisory services performed a regression analysis on the...
A business analyst with AF Ferguson's research and advisory services performed a regression analysis on the relationship between the number of technology firms that failed and the number of technical people unemployed in Bangalore for the year 2019. Her results yielded the regression equation that=12.7+ .000114X. Predictor Coefficient SE Coefficient T P-Value Constant 12.726 8.115 1.57 .134 X1 .00011386 .00002896 3.93 .001 ANOVA Source df SS MS F P-Value Regression 1 .001 Residual Error 12054 Total 19 22408 a) Fill...
You may need to use the appropriate technology to answer this question. Consider the data. xi...
You may need to use the appropriate technology to answer this question. Consider the data. xi 3 12 6 20 14 yi 55 40 55 10 15 (a) Compute the mean square error using equation s2 = MSE = SSE n − 2  . (Round your answer to two decimal places.) (b) Compute the standard error of the estimate using equation s = MSE = SSE n − 2  . (Round your answer to three decimal places.) (c) Compute the...
You may need to use the appropriate technology to answer this question. Consider the data. xi...
You may need to use the appropriate technology to answer this question. Consider the data. xi 1 2 3 4 5 yi 2 8 6 10 13 (a) Compute the mean square error using equation s2 = MSE = SSE n − 2  . (Round your answer to two decimal places.) (b) Compute the standard error of the estimate using equation s = MSE = SSE n − 2  . (Round your answer to three decimal places.) (c) Compute the...
This is like my 3rd time re asking this question because later I figured out 2...
This is like my 3rd time re asking this question because later I figured out 2 typos which is the P-value is 0.0000 and i can't get it to space where you see it off from the left of the anova table, and I missed putting a minus sign on part f. So thats why you keep seeing a duplicate questions from me. 1. A scientist study the relation of x=salinity level and y=nitrate level. He fitted a simple linear...
(1) A Chi-squared test is typically used to test for any of the following except which...
(1) A Chi-squared test is typically used to test for any of the following except which of the following? (A) If a mathematical model accurately predicts our observed frequencies of data values. (B) If a mathematical model accurately predicts the total number of observed data values. (C) If a mathematical model accurately predicts the pattern of our observed data values. (D) Whether two factors present in a population are independent of one another. (E) Whether a series of populations experience...
Consider the data. xi 1 2 3 4 5 yi 2 8 6 11 13 (a)...
Consider the data. xi 1 2 3 4 5 yi 2 8 6 11 13 (a) Compute the mean square error using equation  s2 = MSE = SSE n − 2  . (Round your answer to two decimal places.) (b) Compute the standard error of the estimate using equation s = MSE = SSE n − 2  . (Round your answer to three decimal places.) (c) Compute the estimated standard deviation of b1 using equation sb1 = s Σ(xi − x)2...
1. The following output was obtained from a regression analysis of the dependent variable Rating and...
1. The following output was obtained from a regression analysis of the dependent variable Rating and an independent variable Price.                                                         Anova df SS MS f Regression 1 301.701 301.701 32.94 Residual 15 128.221 9.1586 Total 16 429.922 Coefficients Standard Error T Stat P value Intercept 45.623 3.630 12.569 0.000 Price .107 0.016 6.552 0.002 a. Use the critical value approach to perform an F test for the significance of the linear relationship between Rating and Price at the 0.05 level...