Question

The regression effect is best described as Question 4 options: A) A condition in which the...

The regression effect is best described as

Question 4 options:

A)

A condition in which the predicted Y values will be closer to the mean for Y, than the X values will be to the mean for X.

B)

A condition in which the X values will be closer to the mean for X, than the Y values will be to the mean for Y.

C)

A study originally done by Galton which found sons on average are taller than their fathers.

D)

An error state related to an r=0.

Homework Answers

Answer #1

solution:

regression effect :

The relapse impact is an all inclusive measurable marvel in which a characteristic that is extraordinary. on an underlying estimation will have a tendency to be nearer toward the mean of a gathering on a resulting. estimation… It is otherwise called factual relapse or relapse toward the mean.

regression effect is best described as

A condition in which the predicted Y values will be closer to the mean for Y, than the X values will be to the mean for X.

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
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....
Question 4. Construct a diagram of a scatterplot with a best-fitting regression line (i.e. one that...
Question 4. Construct a diagram of a scatterplot with a best-fitting regression line (i.e. one that is fitted by eye). Label your axes and indicate which axis is the dependent variable and which axis is the independent variable. In your diagram indicate a residual. Write out a simple linear regression model and describe what each part of the model is (for example what is ??) use the simplear regression formula as  ?i = ? + ??i + ?i •?i is the...
(7) A regression analysis was used in a study about perceived strength (str) and body condition...
(7) A regression analysis was used in a study about perceived strength (str) and body condition (cond) among seniors, both measures are in the range of 0-100. Answer questions based on the given output                                                              Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .880a .704 .701 2.404 a. Predictors: (Constant), str ANOVAb Model Sum of Squares df Mean Square F Sig. 1 Regression 688.725 1 688.725 101.665 .002a Residual 2553.465 414 6.168 Total...
Give an example of a problem dealing with two possibly related variables (Y and X) for...
Give an example of a problem dealing with two possibly related variables (Y and X) for which a linear regression model would not be appropriate. For example, the relationship could be curved instead of linear, or there may be no significant correlation at all. What is the impact of using a linear regression model in this case? What options, other than linear regression, can you see? You do not need to collect any data. For your response to a classmate...
Consider this regression equation: revenues = b0 + b1(ad spending) + Error Which is most likely...
Consider this regression equation: revenues = b0 + b1(ad spending) + Error Which is most likely to be false? Select one: a. If the slope of b1 is positive, then ad spending goes up as revenues increase. b. If the slope of b1 is 0, then ad spending does not increase or decrease as revenues increase. c. If the slope of b1 is negative, then ad spending goes down as revenues decrease. d. If the slope of b1 is 0,...
For each of the problems below, complete the following steps: a) Calculate the regression coefficients (a...
For each of the problems below, complete the following steps: a) Calculate the regression coefficients (a and b) for each problem, for both X predicting Y, and Y predicting X. b) Calculate the Standard Error of the Estimate for both X predicting Y, and Y predicting X. c) Calculate the predicted values for each of the given X and Y values. 1) Standardized test scores are used to measure a student’s current learning and understanding of relevant material. They may...
The Toyota Camry is one of the best-selling cars in North America. The cost of a...
The Toyota Camry is one of the best-selling cars in North America. The cost of a previously owned Camry depends on many factors, including the model year, mileage, and condition. To investigate the relationship between the car’s mileage and the sales price for Camrys, the following data show the mileage and sale price for 19 sales Miles (1,000s) Price ($1,000s) 22 16.2 29 16.0 36 13.8 47 11.5 63 12.5 77 12.9 73 11.2 87 13.0 92 11.8 101 10.8...
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...
Question 1 How is a residual calculated in a regression model? i.e. what is the meaning...
Question 1 How is a residual calculated in a regression model? i.e. what is the meaning of a residual? a)The difference between the actual value, y, and the fitted value, y-hat b)The difference between the fitted value, y-hat, and the mean, y-bar c)The difference between the actual value, y, and the mean, y-ba d)The square of the difference between the fitted value, y-hat, and the mean, y-bar Question 2 Larger values of r-squared imply that the observations are more closely...
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...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT