Question

1, The _________________measures the proportion of variation in the dependent variable that is explained by each...

1,

The _________________measures the proportion of variation in the dependent variable that is explained by each independent variable holding all other independent (explanatory) variables constant.

   coefficient of regression

   coefficient of correlation

   coefficient of partial determination

   coefficient of multiple determination

2,

The coefficient of partial determination measures the proportion of variation in the ______________ that is explained by each ____________ holding all other independent (explanatory) variables constant.

   dependent variable, dependent variable

   independent variable , dependent variable

   dependent variable, independent variable

   independent variable, independent variable

Homework Answers

Answer #1

The coefficient of partial determination measures the proportion of variation in the dependent variable that is explained by each independent variable holding all other independent (explanatory) variables constant.

The coefficient of partial determination measures the proportion of variation in the dependent variablethat is explained by each independent variable holding all other independent (explanatory) variables constant.

If we have three predictors coefficient of partial determination tells us the percent of variation not explained by one but expalined by other two.

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
Answer True or False to the statements below. 1) The coefficient of determination measures the variation...
Answer True or False to the statements below. 1) The coefficient of determination measures the variation in the dependent variable that is explained by the regression model 2) A student might expect that there is a positive correlation between the age of his or her computer and its resale value. 3) The variable that is being predicted in regression analysis is the independent variable. 4) If there is no correlation between the independent and dependent variables, then the value of...
Regression ____ (b values) indicate how much influence each independent variable has on the dependent variable....
Regression ____ (b values) indicate how much influence each independent variable has on the dependent variable. Regression analysis serves two main purposes: to define the relationship between variables and to ____ values of the dependent variable using what we know about the existing correlation between the variables. The coefficient of multiple determination, R^2, is interpreted as the percentage of ____ in the dependent variable that is explained by the independent variable.
If the coefficient of correlation is 0.90, the percentage of the variation in the dependent variable...
If the coefficient of correlation is 0.90, the percentage of the variation in the dependent variable y that is explained by the variation in the independent variable x is: A. 81% B. 0.81% C. 90% D. 0.90% If the coefficient of determination is 0.975, then the slope of the regression line: A. could be either positive or negative B. must be negative C. must be positive D. none of the above answers is correct
The proportion of explained variation is called the __________________________________________ An assumption of linear regression states that...
The proportion of explained variation is called the __________________________________________ An assumption of linear regression states that for each value of X, there is a group of Y values that are statistically __________________ and normally distributed about the regression line. ________________________________________ . For an inverse relationship between two variables, the sign of the correlation coefficient is __________________. The standard error of the estimate measures the scatter or dispersion of the observed values around a __________________________________________________________
When attempting to determine a cost formula for mixed-costs, regression analysis can be used. When considering...
When attempting to determine a cost formula for mixed-costs, regression analysis can be used. When considering if the projected line is a “good fit,” the coefficient of determination or R2 is evaluated. A coefficient of determination of 0.88 suggests that: A. 88% of the variation in the dependent variable is explained by the changes in the independent variable(s) B. 88% of the variation in the dependent variable is explained by the changes in factors other than the chosen independent variables...
The proportion of explained variation is called the _______________. If there is absolutely no relationship between...
The proportion of explained variation is called the _______________. If there is absolutely no relationship between two variables, Pearson's r will equal _____. The _______________ principle is applied when calculating the regression coefficients. The _________________ of _________________ is expressed as a percent, its value is between 0 and 100%. In plotting paired data in a scatter diagram, the independent variable is scaled on the __________________.
In a regression analysis, _____ represents the proportion of variations in the dependent variable, Y, could...
In a regression analysis, _____ represents the proportion of variations in the dependent variable, Y, could be explained by the independent variables (all the Xs). R2 F statistics t statistics p value
ANSWER ALL IF POSSIBLE QUESTION 1 The Independent Variable provides the basis for estimation. It is...
ANSWER ALL IF POSSIBLE QUESTION 1 The Independent Variable provides the basis for estimation. It is the predictor variable. True False QUESTION 2 There are two variables in correlation analysis referred to as the dependent and determinationvariables. True False QUESTION 3 What is the range of values for a coefficient of correlation? 0 to +1.0 -3 to +3 inclusive -1.0 to + 1.0 inclusive Unlimited Range QUESTION 4 What does a coefficient of correlation of .70 infer? Almost no correlation...
The explained sum of squares measures variation in the dependent variable Y about the:. mean of...
The explained sum of squares measures variation in the dependent variable Y about the:. mean of the Y values. estimated Y values. mean of the X values Y-intercept Which statement is incorrect? Binary predictors shift the intercept of the fitted regression a qualitative variable has c categories, we would use only c - 1 binaries as predictors. If there is a binary predictor (X = 0, 1) in the model, the residuals may not sum to zero. Another name for...
SUMMARY OUTPUT Dependent X variable: all other variables Regression Statistics Independent Y variable: oil usage Multiple...
SUMMARY OUTPUT Dependent X variable: all other variables Regression Statistics Independent Y variable: oil usage Multiple R 0.885464 R Square 0.784046 variation Adjusted R Square 0.76605 Standard Error 85.4675 Observations 40 ANOVA df SS MS F Significance F Regression 3 954738.9 318246.3089 43.56737 4.55E-12 Residual 36 262969 7304.693706 Total 39 1217708 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept -218.31 63.95851 -3.413304572 0.001602 -348.024 -88.596 -348.024 -88.596 Degree Days 0.275079 0.036333 7.571119093 5.94E-09...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT