A linear regression equation has b = -4 and a =  8., X = 2? is it Ŷ = 0?

Q: A regression was run to determine if there is a relationship between the happiness index (y) and…

A: Given: Happiness index (y) life expectancy (X)  Regression equation : y= - 0.797 + 0.181 x

Q: what is the dependent and independent variables. fully write out the regression equation. fill in…

A: In theory of statistics, dependent variable is the response variable, where the variation of the…

Q: In the equation, Y’ = b0 + bxX, b0 represents the: Group of answer choices correlation between X and…

A:

Q: acher plots the number of classes their students missed (r) with their scores on a test (y). The…

A: In this equation, the study of graphs is applied. Graph The graph of a function is the collection of…

Q: The equation of a regression line is Y = 5.8 + 4x Estimate the value of Y when x = 13?

A: Answer: From the given data, The regression equation is Y = 5.8+4x

Q: The number of hours 13 students spent studying for an exam and their scores on that test are…

A:

Q: The following table gives the data for the average temperature and the snow accumulation in several…

A: See the solution

Q: The equation used to predict college GPA​ (range 0-4.0) is y=0.18+0.53x1+0.002x2​, where x1 is high…

A: Given, The equation used to predict college GPA​ is y=0.18+0.53x1+0.002x2​, where x1 is high school…

Q: A researcher found that the linear regression equation has a slope of 3 and an intercept of -6. What…

A: The objective of this question is to find the predicted value of Y for a given value of X using the…

Q: Suppose a study is done to adolescents to determine if their self-esteem (Y) depends on their height…

A: Here the equation of regression line : Y = - 8 + 0.5X.  The slope of the regression is positive and…

Q: The table below shows the average temperature in a particular city for the months of March through…

A: Month xyMarch 364April 461May556June 651July 749August 850September 952October 1056

Q: Interpret an R^2 value of 0.62 for a linear regression model where X is the independent variable and…

A: Coefficient of determination, R2 = 0.62

Q: What is the slope and intercept for the regression equation given this data? X = 72, 81, 54, 50, -3…

A: Given that X Y 72 69 81 97 54 73 50 22 -3 -10

Q: What is the best predicted test score for a student who spent 120 minutes preparing for the test?

A: Regression equation for dependent random variable Y (test score ) and Independent random variable X(…

Q: regression equation that relates risk of a stroke to a person's age, systolic blood pressure and…

A: *Answer: Consider the provided details and the “Stroke” data file to solve the subparts. a. To…

Q: The regression equation between X and Y is Y = 1.2 X + 6 Predict the value for x = 5?

A: Answer: From the given data, The regression equation between X and Y is given as Y = 1.2 X + 6

Q: The number of hours 13 students spent studying for an exam and their scores on that test are…

A: Given : The number of hours 13 students spent studying for an exam and their scores on that test are…

Q: Asuss Airline would like to forecast the number of passengers who will fly from Singapore to…

A: Let X be the time points for the given years and consider it as an independent variable.Let Y be the…

Q: Use the regression equation, Ŷ = 3X + 4, to find the predicted Y value corresponding to X  = 2 The…

A:

Q: also compute the regression equation in which you predict Y using X as the predictor variable

A: The general regression equation is y-hat=b0+b1x.

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 equation used to predict annual cauliflower yield (in pounds per acre) is y = 24,231 +4.417x, -…

A: The multiple linear regression equation is : y^=24231+4.471 x1-4.677 x2 (a) y^=24231 + (4.471×36100)…

Q: A biologist wants to predict the height of male giraffes, y, in feet, given their age, x1, in years,…

A: The regression equation is, ŷ = 7.36 + 0.00895x1 + 0.000426x2 +0.913x3, where x1 defines the age, x2…

Q: an independent researcher wants to investigate if the factors which determine the house rent (Y,…

A: The critical value from student t distribution at 95% level of significance at n-2 degree of freedom…

Q: The following table gives the data for the average temperature and the snow accumulation in several…

A: Given As per given data enter in to the Excel sheet

Q: A researcher is using the regression model Y=61+4.5X to predict a persons score on a happiness…

A: Y=61+4.5x X=8

Q: Based on the data from six students, the regression equation relating number of hours of preparation…

A: Given, Regression equation is,             y^=67.3+1.07x And Want to predict for 120 minutes, means…

Q: The equation used to predict college GPA (range 0-4.0) is y= 0.17 +0.52x, +0.002x,, where x, is high…

A: Given data: The equation used to predict college GPA is: y^=0.17+0.52x1+0.002x2…

Q: There is a linear relationship between the number of chirps made by the stiped ground cricket and…

A: There is a linear relationship between the number of chirps made by the stiped ground cricket and…

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.