Given the regression line Ý = 2.5X +12, what is the predicted value of self-esteem where X = 1

Q: In linear regression, how can you minimise the error between predicted and actual observed values?

A: Suppose a sample of n sets of paired observations is available. These observationsare assumed to…

Q: Suppose that you are estimating the simple regression model Y; = B1 + B2X; + ui, and in your sample,…

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Q: A software firm collected data for a sample of 30 computer programmers. A regression analysis can be…

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Q: How do you determine if a regression model is showing a case of suppression?

A: Suppressions:  It can be defined as “a variable which increases the predictive validity of another…

Q: State the four conditions required for making inferences in multiple linear regression analysis

A: Solution: We have to state the four conditions required for making inferences in multiple linear…

Q: What is the equation of the regression line to predict the UPCAT Score given the Senior High School…

A: Given: Students Senior high ave, X UPSAT, score, Y 1 88.5 57.3 2 81.6 63.8 3 91.9 81 4…

Q: Why is it often preferable to use more than one predictor variable in a regression analysis?

A: In a regression analysis, the presence of more number of predictor variables means that more number…

Q: For a set of data: x = (0,1,2,3,4,5,6) and y=(36, 28, 25, 24, 23, 21, 19), is it wise to use a…

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Q: Suppose the equation for a regression line is y =4x + 6. If x = 5, what is the predicted…

A: Given regression equation , y = 4x + 6  Where , slope = 4 y-intercept = 6  y is the dependent…

Q: 2. For a linear regression model including only an intercept, the OLS estimator of that intercept is…

A: We have given that  For a linear regression model including only an intercept, the OLS estimator of…

Q: The LA county board of education regularly collects data on student SAT scores and classifies these…

A: Multple Regression analysis is the corret answer because SAT score is dependent on two or more…

Q: The regression equation is intended to be the “best fitting” straight line for a set of data. What…

A: There can be many lines that can relate the independent and the dependent variables. But one of the…

Q: Why is the equation of the regression line for this scatter plot ?

A: The regression equation is, y=a+bx In the formula a is the intercept value, and x is the slope…

Q: What is A REGRESSION LINE?

A: A regression line is a line which is generally used to estimate a dependent or response variable…

Q: How can I calculate the different values in the equation y=ax+b for the regression line of a sample?…

A: The form of the simple linear regression is given by,

Q: what is the best-predicted weight for a bear with 43 inches, and What is the regression​ equation?

A: The variable x represents the chest size and y represents the weight.

Q: The regression equation is Ý= 29.29 – 0.84X, the sample size is 23, and the standard error of the…

A: The sample size n is 23.

Q: The fish in my pond have mean length of 10.78 inches and mean weight 4.27 pounds. The correlation…

A: the regression equation of y on x is given as :    y^ - y¯ = byx (x - x¯)   let us assume:   y: the…

Q: If a regression equation is used, when are predictions not meaningful?

A: A regression equation is used in statistics to calculate the  relationship, which, exists between…

Q: When an additional independent variable is added to a multiple regression model, UR² will increase…

A: We have given that the statement about to the multiple regression model. Here, need to find out the…

Q: If the coefficient of determination is 0.298, what percentage of the data about the regression line…

A: Coefficient of determination It tells us the percentage of variation  in the dependent variable that…

Q: researcher investigated the relationship between family income and savings. Using data from 15…

A: Given: Correlation coefficient (r) = 0.76 Sample size (n) = 15

Q: Assume that you want to predict Company Performance based on the linear effects of Trust and…

A: Company performance is the dependent variable and Trust among employees and Commitment of employees…

Q: The level of significance is 0.05. In the regression model, which of the following are dummy…

A: # Dummy variable are the variable which. Categorise itself into different categories  Example: type…

Q: Why is it necessary that the variables are significantly correlated before performing regression…

A: Coefficient correlation : In a correlation analysis, the correlation coefficient is a specific…

Q: What is measured by the standard error of estimaate for a regression equation?

A: Standard Error of estimate(SEE) is given by, SEE=(Y-Y^)2NY: Actual ValueY^: predicted valuesN:…

Q: What are the assumptions of multiple linear regressions only?

A: The assumptions for multiple linear regression inferences are; 1. Linearity: There must be linear…

Q: Is the regression equation for predicting Y in terms of X the same as the regression line for…

A: Here we have to define  Is the regression equation for predicting Y in terms of X the same as the…

Q: A car dealer wants to estimate the price of a used car based on the age of the car and the mileage.…

A: Solution: From the given information, the regression equation is Price = 21, 619 – 1022 Age – 0.03…

Q: What is the simple regression line that can best predict the sales from the advertising expenditures…

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Q: Suppose you are examining a multi-variable linear regression model that was designed to predict the…

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Q: If the regression line is not a "good fit" what would be better to use to approximate a response…

A: Mean is a measure of central tendency of a set of observations.

Q: Explain why the interpretation of the regression coefficients is difficult when the predictor…

A: Predictor variables:Predictor variables are also known as independent variables; these variables are…

Q: Do you think the regression results have been affected by the multicollinearity issue? Why or why…

A: What is multicollinearity Multicollinearity is problem where one or more than one independent…

Q: What are the Standard Errors for Fixed Effects Regression?

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Q: The fish in my pond have mean length 12 inches and mean weight 5 pounds.  The correlation…

A: In this case, weight is the dependent variable (y) and length is the independent variable (x).

Q: The mall has a set of data with employee age (X) and the corresponding number of annual…

A: Given, regression equation is Y=100-3X If X=30 Y=?

Q: In last year, five ranndomly selected students took a math aptitude test before they began their…

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Q: If the coefficient of determination of a simple regression equation is 0.81, the correlation…

A: Correlation coefficient is the square root of coefficient of determination.

Q: When should you do regression analysis?

A: When a number of independent variables are needed to predict a continuous dependent variable,…

Q: quared for a regression model relating the outcome y to an explanatory variable x is 0.9. This…

A: In the regression analysis, the coefficient of determination is used to measure the explained sum of…

Q: Which statement is not correct for multiple regression model?

A: Multiple regression is an extension of the simple regression model.

Q: How could we provide evidence for the positive association between two variables through linear…

A: Association or correlation:Association tells about the relationship between two variables. There are…

Q: The fish in my pond have mean length 10 inches and mean weight 4 pounds. The correlation coefficient…

A: In the given question, mean values of length and weight and correlation coefficient are specified.…

Q: If the coefficient of determination is 0.233, what percentage of the data about the regression line…

A: Coefficient of Determination: It is denoted by r2, here r represents the correlation between the two…

Q: If you have 2 datasets on which you have conducted a regression analysis, how would you determine…

A: If 2 data set is on the same variables then we can combine them. Benefit to combine them is…

Q: Explain the process of Computing the Regression Line?

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Q: The correlation between two variables x and y is –0.6. If we used a regression line to predict y…

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