Managers rate employees based on job performance and attitude. The results for several randomly selected employees are given below. Performance 59 |63|65|69 | 58 |77 | 76| 69 70 64 72 67 78 82 75 87 92 83 87 78 Attitude y =-47.3 + 2.02x v - 92.3 – 0.669x = 11.7 + 1.02x Ov=2.81 + 1.35x

Q: first year college students were selected with their grades in Grade 12 Math and Math in the Modern…

A: Here we are given                                            x…

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A: It is given that the slope of the fitted regression line is –0.91. The variable y represents the…

Q: Different hotels in a certain area are randomly​ selected, and their ratings and prices were…

A: Linear regression equation:In a linear regression model y = b0 + b1x, where y be the response…

Q: For doing linear regression equations, what the best practice is followed?

A: Note: Hey there! Thank you for the question. Here, “best practice” for constructing a regression…

Q: The regression equation for Y is the linear equation Ý = bX + a %3D where Sy b =r М, — b. М. & a =…

A: A least square regression line is called the line of best fit.

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

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A:

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Q: The equation used to predict annual cauliflower yield (in pounds per acre) is y = 23,482 +4.455x,…

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Q: give step by step of regression analysis and explain it

A: Please find the solution below.

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Q: is it linear?

A:

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A: Let's find.

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Q: How will I get output of linear regression formula? Thanks.

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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.