It is possible for the regression equation to have none of the actual (observed) data points located on the regression line. True or False

Q: How do you determine whether a regression model is showing a case of redundancy?

A: Multicollinearity is simply redundancy in the information contained in predictor variables. If the…

Q: a. Ignore for now the months since the last maintenance service (71 ) and the repairperson who…

A: Here, y is the repair time and  x3 = 0 if Bob Jones performed the service and x3 =1 if David Newton…

Q: Researchers used the simple linear regression model to study the relationship between social media…

A: first we have to find the equation of the regression line y^=a+bX

Q: What is not motivation for running multiple linear regression?

A: Multiple linear regression model (MLRM)  estimates the statistical relationship between a dependent…

Q: Researchers wanted to investigate the relationship between employment and accommodation capacity in…

A: Let us define X as the number of overnight establishments and Y as the number of Jobs. Given…

Q: If the coefficient of determination is a positive value, then the regression equation _____

A: It is an important part of statistics . It is widely used .

Q: Determine the regression equation 1 2 3 4 5 6. 7 8 y 0,5 0,8 1,2 1,9 3 4,8 7,5 11,9

A: Note: Commas are taken as decimals for computation. Mean x=∑xin=(1+2+3+4+5+6+7+8)/8=36/8=4.5Mean…

Q: The return rates of crane (Tagak) in Bulacan was studied using regression analysis and this…

A: The relationship between return rate (x: % of birds that return to the colony in a given year) and…

Q: Determine the regression equation 1 2 4 6 7 8 y 0,5 0,8 1,2 1,9 3 4,8 7,5 11,9

A:

Q: If you know that the equation for the simple linear regression between the final exam result and the…

A: Simple linear regression is a regression model with only one explanatory variable and hence the…

Q: A statistics consulting center at a major university analyzed data on normal woodchucks for the​…

A: From the table: n=19 ∑y=59060          ∑xy=753559.5∑x=244.2           ∑x2=3212.36

Q: What is the regression equation

A: The regression analysis is conducted here by using EXCEL. The software procedure is given below:…

Q: The return rates of crane (Tagak) in Bulacan was studied using regression analysis and this…

A: Given: Percent of birds which return to the colony in a given year = x Percent of new adults which…

Q: at point does the regression line

A: the value of constant  = α = 3.413 the constant is the value of the dependent variable when the…

Q: The return rates of crane (Tagak) in Bulacan was studied using regression analysis and this…

A: Given Data: y=31.9-0.34x   Variable "x" represents the return rate Variable "y" represent the rate…

Q: A value of r close to 0 indicates that the regression equation is either useless or ______ for…

A: As the correlation value closer to 0, the coefficient of determination (R-square) will be decreased.…

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: Explain the first step in the written development of a regression model?

A: Regression model: Regression analysis is used to study the relationship between two or more…

Q: The regression line always gives an exact model for data. true or false

A: Regression line gives the relationship between the dependent variables and independent variable.

Q: ..... The equation of the regression line is y = x+

A: Given : X Y 20 2.67 18 3.22 17 2.69 16 3.71 14 3.83 12 4.43 11 3.76 9 5.18

Q: If the r value for a linear regression model is -0.85 what does it

A: The conditions for correlation: The correlation value is lies between -1 and 1. If r=0, then there…

Q: What is the concept of linear regression? Can linear regression be automatically calculated in SPSS?

A: Explanation.... concept of linear regression

Q: 18. Explain the general principle used to train linear regression models.

A: The linear regression model has a set of values in a variable x. For each corresponding value of x…

Q: Explain in 20 words or less whether the following statement is true or not.    Having a linear…

A: Linear regression equation: An equation written as Y = a + b X is named regression equation where a,…

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: What is the equation of the regression line

A: The equation of the regression line is obtained below; From the given information, the predictor…

Q: When a regression coefficient in a multiple linear regression model is zero, the slope of the…

A: #When a regression coefficient in a multiple linear regression model is zero, the slope of the…

Q: What is a numerical prediction from the regression line equation shown in the photo?

A: Here, the regression line equation is " Height ( in. ) = 52.293743 + 1.3679745 Shoe size ( in. ) ".…

Q: The higher the difference between the observed value of y and the predicted value of y, the better…

A: The observed value of dependent variable is represented by y and the predicted value is represented…

Q: 1- The goal of regression equation is. .....

A: Note: Hi, thank you for the question. As per our company guideline we are supposed to answer only…

Q: What is regression models?

A: To define Regression model:

Q: True or false: The Coefficient of For two variables that have a perfect negative linear regression…

A: We have to find true or false.

Q: in general, how violations of each of the linear regression model assumptions will affect the…

A: It is an important part of statistics . It is widely used .

Q: The predictions made using multiple regression are often more ______ than the predictions made using…

A: Concept  1. As the number of valid predictor increase the model becomes more good in sense of…

Q: What are the functional forms of the regression model? Explain.

A: A functional form refers to the algebraic form of a relationship between a dependent variable and…

Q: A negative correlation between variables X and Y will always result in a positive slope in the…

A: Variables X and Y have negative correlation between them. Let, r be correlation coefficient and…

Q: What are the assumptions of a multiple linear regression model? What would you do to look for…

A: The main assumptions for multiple linear regression model are; Linearity: There must be linear…

Q: What do we mean when we say that a multiple regression model is a multiple linear regression model?…

A: Solution: The multiple linear regression model is a statistical technique which is used to predict a…

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: The equation used to predict college GPA (range 0-4.0) is y = 0.17 +0.51x, +0.002x,, where x, is…

A:

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: Which statement is not correct for multiple regression model?

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

Q: Provide an example of a research project in your hometown where you would choose to use linear…

A: Given information: Consider the data set for the money invested in Advertisement and Sales for the…

Q: When should a regression model not be used to make a prediction?

A: Not using regression model to make prediction when: there are few point which should be like that

Q: How to know if obtaining a regression equation for the data appear reasonable?

A: Linear regression: It is a method for predicting the value of a dependent variable Y , based on the…

Q: For a regression line, the ________ the standard error of the estimate is, the more accurate the…

A:

Q: A professor has found that scores on the midterm exam in her classes predict scores on the final…

A: Given that midterm exam scores predict the final scores. Therefore Predictor variable is the midterm…

Q: True or False  Having a linear regression equation allows us to predict a Y' score for any X value?

A: The linear regression equation allows us to predict Y' score for the given range of X values only.…

Q: sports statistician was interested in the relationship between game attendance (in thousands) and…

A: Given equation is: ŷ = 4.9x + 15.2 Here, ŷ = Predicted number of wins (in thousands) x = Number…

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related. 

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.