A regression was run to determine if there is a relationship between hours of tv watched per day (x) and number of sit-ups a person can do (y)

Q: A regression model relating x, number of salespersons at a branch office, to y, annual sales at the…

A: The data shows the number of salespersons at a branch office and annual sales at the office.

Q: Based on the regression output, if a printer can print 4.8 pages per minute and copies in color,…

A: It is given that The reqression equation is Price = 238.3 + 26.8 Speed + 57.7 Color

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: Researchers conducting a study of 15 children with a diagnosis of ADHD wish to assess whether the…

A: The maximum value is nothing but the highest data point that occurs in the data after arranging the…

Q: A 10-year study conducted by the American Heart Association provided data on how age, blood…

A: The given output shows the regression analysis.

Q: A regression analysis was performed to determine if there is a relationship between hours of TV…

A: Given that  y=ax+b a= -0.784 b=34.422 r2=0.793881 r=0.891

Q: While collecting data about a robot's location, x-values are recorded as the time, in seconds, since…

A: given solution: from given information we know that correlation coefficient is 0 and we know that…

Q: create graph of the two-variable data with a regression line, r, r2, and separate residual plot

A: Taking total distance as response and maximal speed as predictor and ignoring the deviations () in…

Q: regression

A: Here it is asked to find the degrees of freedom in a regression model with an intercept term that…

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: From the provided information, The regression equation is as follow: y = -0.817x + 32.111 Here x is…

Q: Find the equation of the least-squares line. (Round your values to four decimal places.) Use the…

A: Given data, X Y X*Y X*X 2 91 182 4 6 46 276 36 7 32 224 49 9 6 54 81 12 4 48 144

Q: Run a simple linear regression in SPSS to know if previous experience (‘prevexp’: Previous…

A: (a). Test whether previous experience significantly predicts current salary: The investigator is…

Q: The slope of a regression line=-6.879 How do you interpret the slope? Is it significant?

A: We know that the slope is the value of a regression equation by which we can measure the impact of…

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: From the given information, the regression is y=20.094-0.759(x).

Q: A regression analysis between sales (Y in $1000) and advertising (X in dollars) resulted in the…

A:

Q: It is believed that the electrical energy that a chemical plant consumes each month is related to…

A: In this case Average ambient temperature, Number of days of the month, Average product purity, Tons…

Q: Define the different ways to use linear regression?

A: Type of regressions is given below: Simple linear regression model Multiple linear regression…

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A:

Q: A regression was run to determine if there is a relationship between hours of TV watched per day…

A: Given regression line asy = -0.883 x + 30.476 y is number of sit ups a person can do and x is number…

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: Given: Regression equation y=ax+b a=-0.656 b=36.681 when x=10 hours

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: Given The results of the regression were: y = ax + b a = -1.098 b = 37.154 r^2= 0.444889 r=-0.667

Q: A regression was run to determine if there is a relationship between hours of TV watched per day…

A: To find: number of situps a person who watches 7 hour(s) of TV can do?

Q: A regression was run to determine if there is a relationship between hours of study per week (z) and…

A: we have to find best predicted value

Q: Perform a regression on two different variables within the attached data, and exaplin what the…

A: DurationCost of…

Q: A regression analysis was performed to determine if there is a relationship between hours ofTV…

A: Introduction: The regression equation is of the form: From the results on a and b that are given in…

Q: the regression line always passes through mcq

A: Regression equation: Y=a+bXwhere,a=y interceptb=slope Y = dependent variableX = independent variable…

Q: Are the sno w conditions a factor in the number of visitors at a ski resort? The table below shows…

A: From the Anova table given in step 2, (1) -> For this study, we should use ANOVA.   (2) -> The…

Q: Write out the regression equation based on the output. What happens to exam performance with every…

A: The regression equation based on the output based on the unstandardized coefficients is,

Q: A regression was run to determine if there is a relationship between hours of TV watched per day…

A: Given datay = ax+ba = -1.392b = 32.952r2 = 0.527076r = -0.726x is the hours of TV watched per dayy…

Q: Describe regression variation in terms of variation in Y.

A: Regression analysis is a statistical technique used to explore and model the relationship between a…

Q: A regression was run to determine if there is a relationship between hours of TV watched per day…

A: The value of a is -0.629 and the value of b is 39.045.

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.