Economics Regression Analysis
A regression between Score in Managerial Economics (response variable in percentage) and Weekly
Allowance (explanatory variable in pesos) for 41 students resulted in the following regression equation:
yˆ = 60.9 + 0.23 x. Which among the following would describe the estimated regression equation?
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You run a regression analysis on a bivariate set of data ( n = 41 )....
You run a regression analysis on a bivariate set of data ( n =
41 ). With ¯ x = 41.6 and ¯ y = 31.1 , you obtain the regression
equation y = − 2.748 x + 61.522 with a correlation coefficient of r
= − 0.011 . You want to predict what value (on average) for the
response variable will be obtained from a value of 10 as the
explanatory variable. What is the predicted response value?
You...
Select all of the following statements that are true about linear regression analysis of quantitative variables....
Select all of the following statements that are true about linear regression analysis of quantitative variables. If the purpose of our regression model is prediction, it does not matter which variables we define as the explanatory and response variable. The observed values of Y will fall on the estimated regression line, while the predicted values of Y will vary around the regression line. The purpose of linear regression is to investigate if there exists a linear relationship between a response...
1. Basic concepts of linear regression Aa Aa Match the following key linear regression terms with...
1. Basic concepts of linear regression Aa Aa Match the following key linear regression terms with their respective descriptions Residual Least Squares Criterion Response Variable Explanatory Variable Regression Equation A procedure used to develop an estimate of the regression equation that minimizes the sum of the squared errors The variable that you are predicting or explaining The variable that is doing the predicting or explaining The equation that describes the relationship between the response variable and the explanatory variable The...
= You run a regression analysis on a bivariate set of data (n 90). With t...
= You run a regression analysis on a bivariate set of data (n 90). With t = 32.8 and y 56.2, you obtain the regression equation y = 3.482x + 43.485 with a correlation coefficient of r = 0.089. You want to predict what value (on average) for the response variable will be obtained from a value of 100 as the explanatory variable. You find that the regression equation p value is above your a value. What is the appropriate...
ou run a regression analysis on a bivariate set of data(n=65n=65). You obtain the regression...
ou run a regression analysis on a bivariate set of data (n=65n=65). You obtain the regression equationy=−1.915x+−54.061y=-1.915x+-54.061with a correlation coefficient of r=−0.626r=-0.626 (which is significant at α=0.01α=0.01). You want to predict what value (on average) for the explanatory variable will give you a value of 30 on the response variable.What is the predicted explanatory value?x = _______
- Linear Regression and Correlation Kamal Hamid 15 You run a regression analysis on a bivariate...
- Linear Regression and Correlation Kamal Hamid 15 You run a regression analysis on a bivariate set of data (n 73). You obtain the regression equation = 1.5422+-1.366 with a correlation coefficient of r = 0.45 (which is signifi average) for the explanatory variable will give you a value of 80 on the res cant at α = 0.01). You want to predict what value (on What is the predicted explanatory value? Run a regression analysis on the following bivariate...
PLEASE SHOW IT ON TI84 OR SHOW WORK. You run a regression analysis on a bivariate...
PLEASE SHOW IT ON TI84 OR SHOW WORK.
You run a regression analysis on a bivariate set of data (r: 108). With x regression equation 27.5 and y :-67.4, you obtain the y 0.488z 33.947 with a correlation coefficient of r = 0.076. You want to predict what value (on average) for the response variable will be obtained from a value of 150 as the explanatory variable. What is the predicted response value? 107.1 (Report answer accurate to one decimal...
х Run a regression analysis on the following bivariate set of data with y as the...
х Run a regression analysis on the following bivariate set of data with y as the response variable. y 28.2 50.9 26.9 60.8 19.2 46.9 23.1 28.6 28.7 69.3 30.4 58.1 40.6 77.3 25.6 60.3 23.1 22.5 23.1 46 19.2 37.2 34.2 74.1 Find the correlation coefficient and report it accurate to three decimal places. What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage accurate to...
uestions estions saved The equation of the regression line is Y = a + bx. Match...
uestions estions saved The equation of the regression line is Y = a + bx. Match the following symbols to the description to the right. Denotes the variable plotted on the horizontal axis and called the explanatory variable. 1. 2 a B Denotes the variable plotted on the vertical axis and is called the response 2. ariable. R: 3. The regression coefficient- the change in Y for a change in X of +1. The amount of variability of Y explained...
PLEASEEE HELP!! THANKS!!! Run a regression analysis on the following bivariate set of data with y...
PLEASEEE HELP!! THANKS!!!
Run a regression analysis on the following bivariate set of data with y as the response variable. х у 54.7 26.5 55.1 25.9 49.6 21.9 55 24.1 55.4 23 46.9 22 50.4 21.4 54.7 22.9 49.8 24 49 20.9 57.8 23.9 56.1 25.9 Find the correlation coefficient and report it accurate to three decimal places. What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a...
You run a regression analysis on a bivariate set of data ( n =
41 ). With ¯ x = 41.6 and ¯ y = 31.1 , you obtain the regression
equation y = − 2.748 x + 61.522 with a correlation coefficient of r
= − 0.011 . You want to predict what value (on average) for the
response variable will be obtained from a value of 10 as the
explanatory variable. What is the predicted response value?
You...
Select all of the following statements that are true about linear regression analysis of quantitative variables. If the purpose of our regression model is prediction, it does not matter which variables we define as the explanatory and response variable. The observed values of Y will fall on the estimated regression line, while the predicted values of Y will vary around the regression line. The purpose of linear regression is to investigate if there exists a linear relationship between a response...
1. Basic concepts of linear regression Aa Aa Match the following key linear regression terms with their respective descriptions Residual Least Squares Criterion Response Variable Explanatory Variable Regression Equation A procedure used to develop an estimate of the regression equation that minimizes the sum of the squared errors The variable that you are predicting or explaining The variable that is doing the predicting or explaining The equation that describes the relationship between the response variable and the explanatory variable The...
= You run a regression analysis on a bivariate set of data (n 90). With t = 32.8 and y 56.2, you obtain the regression equation y = 3.482x + 43.485 with a correlation coefficient of r = 0.089. You want to predict what value (on average) for the response variable will be obtained from a value of 100 as the explanatory variable. You find that the regression equation p value is above your a value. What is the appropriate...
- Linear Regression and Correlation Kamal Hamid 15 You run a regression analysis on a bivariate set of data (n 73). You obtain the regression equation = 1.5422+-1.366 with a correlation coefficient of r = 0.45 (which is signifi average) for the explanatory variable will give you a value of 80 on the res cant at α = 0.01). You want to predict what value (on What is the predicted explanatory value? Run a regression analysis on the following bivariate...
PLEASE SHOW IT ON TI84 OR SHOW WORK.
You run a regression analysis on a bivariate set of data (r: 108). With x regression equation 27.5 and y :-67.4, you obtain the y 0.488z 33.947 with a correlation coefficient of r = 0.076. You want to predict what value (on average) for the response variable will be obtained from a value of 150 as the explanatory variable. What is the predicted response value? 107.1 (Report answer accurate to one decimal...
х Run a regression analysis on the following bivariate set of data with y as the response variable. y 28.2 50.9 26.9 60.8 19.2 46.9 23.1 28.6 28.7 69.3 30.4 58.1 40.6 77.3 25.6 60.3 23.1 22.5 23.1 46 19.2 37.2 34.2 74.1 Find the correlation coefficient and report it accurate to three decimal places. What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage accurate to...
uestions estions saved The equation of the regression line is Y = a + bx. Match the following symbols to the description to the right. Denotes the variable plotted on the horizontal axis and called the explanatory variable. 1. 2 a B Denotes the variable plotted on the vertical axis and is called the response 2. ariable. R: 3. The regression coefficient- the change in Y for a change in X of +1. The amount of variability of Y explained...
PLEASEEE HELP!! THANKS!!!
Run a regression analysis on the following bivariate set of data with y as the response variable. х у 54.7 26.5 55.1 25.9 49.6 21.9 55 24.1 55.4 23 46.9 22 50.4 21.4 54.7 22.9 49.8 24 49 20.9 57.8 23.9 56.1 25.9 Find the correlation coefficient and report it accurate to three decimal places. What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a...
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