A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression are: Linear Regression Equation: Parameter Estimate Intercept 30.168 Slope (TV -1.175 Hours) Model Suymmary Statistic Correlation Coefficient r Coefficient of Determination 2² Value -0.964 0.929296 Assume the correlation is significant (p-value < a), and use this to predict the number of situps a person who watches 12.5 hours of TV can do (to one decimal place)

Q: A simple linear regression model was created to examine the relationship between the age of patients…

A:

Q: A researcher records age in years (*) and systolic blood pressure (y) for volunteers. They perform a…

A: The following information has been provided: y^=3.3+12.7x

Q: To estimate the value of a dependent variable based on the values of one or more independent…

A: Solution-: To estimate the value of a dependent variable based on the value of one or more…

Q: Degrees of freedom Coefficients Standard Error Regression 5270141 3 Intercept -313.958 102.3523…

A: Given Data : First we will calculate the Mean squared values : MSregression = SSregression / df =…

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: Which pair of h0/h1 is used in the two sided test for the slope of a simple linear regression?

A: Null and alternative hypotheses: Null hypothesis: Null hypothesis is a statement which is tested for…

Q: A statistics student wanted to determine if the distance to a destination was related to the price…

A:

Q: A pumpkin farmer wants to create a linear regression model to predict the circumference of a pumpkin…

A:

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: n a sample of cars reviewed by Motor Trend magazine, the mean horsepower (hp) was 150 hp with a…

A: Given Information: The mean horsepower hp was 150 hp with a standard deviation of 36 hp. The mean…

Q: A sample consists of 500 houses sold in Karachi between January 2020 and December 2020. The multiple…

A: Hi, we are supposed to answer three subparts at a time. Since you have not mentioned which subpart…

Q: Which of the variables is the indepenent variable and dependent variable for the following question.…

A: The simple linear regression equation between the two variables x and y is given by,  y = a + bx…

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: The least-squares regression equation is y = 602.1x + 17,023 where y is the median income and x is…

A: The question is about regression.Given :Regression equation : Correlation coefficient ( r ) =…

Q: A. An article in the Journal of Sound and Vibration describeda study investigating the relationship…

A: Given, Noise Pressure Blood Pressure 2 65 2 63 3 65 2 71 4 75 1 81 3 80 5 96 1…

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

A:

Q: The linear regression results below are based on commercial properties that real estate agencies use…

A: From the given information, The confidence level is 95% Corresponding significance level is…

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 (x)…

A: Given, y=ax+b a=-1.38 b=39.555 r2=0.693889 r=-0.833

Q: A regression was run to determine if there is a relationship between hours of TV watch humber of…

A: Given data,   y=ax+b a=-0.759 b=37.685 r2 =0.674041 r=-0.821

Q: (a) Write down the regression model. (b) Interpret the regression coefficient for the fitted model.…

A: The output from Minitab is given as-termsCoefSE coefT-valueP-valueVIFConstant…

Q: From a regression equation r2= 0.39 and the slope = -2.8 What is the linear correlation coefficient…

A: Given information: The value of the slope is b=-2.8. The value of r2=0.39.

Q: mean of x = 2.882, standard deviation = 1.634 Mean of y = 2.588, standard deviation = 0.246…

A: Regression Equation =     = a + b * x Where b be the slope of the line      a is the y…

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 TV watched per day (x)…

A: The given results are: y=ax+ba=-1.271b=39.101

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

A: Required answer

Q: find the (a) explained variation, (b) unexplained variation, and (c) indicated prediction interval.…

A:

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: Two variables have a positive linear correlation.  Is the slope of the regression line for the…

A: We have given that  Two variables have a positive linear correlation

Q: Cost of auto insurance A test of linear correlation between traffic tickets and insurance cost…

A: Correlation is defined as the linear relationship between the two variables. The range of the…

Q: A microcomputer manufacturer has developed a regression model relating his sales (y=$10,000s) with…

A: Solution: Part 1:  In this part, the sample size used for this analysis needs to be found.   In the…

Q: Janice Carrillo, a Gainesville, Florida real estate developer has devised a regression model to help…

A: If we want to calculate the predicted value of dependent variable using a particular value of the…

Q: Q1: [Regression and Correlation] The index of biotic integrity (IBI) is a measure of water quality…

A: Since you have asked multiple questions, we will solve the first question for you. If you want any…

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.