From a regression equation r2= 0.39 and the slope = -2.8 What is the linear correlation coefficient r?
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A: The general equation of estimated regression line isy^=bx+a whereb=rsysx
Q: In a linear regression model, calculate the slope of the line, b1, when the correlation coefficient…
A: The formula to calculate slope of line is as follows : b1 = r×sysx
Q: two regression coefficients bxy = 0.72 and ind the correlation coefficient (r) ? ound to 3 decimals.
A: From the given data, The regression coefficients are:- bxy = 0.72 and byx = 0.55
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A: Given : r² = 0.71 slope = 3.5
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A: The given output shows the regression analysis.
Q: 4b) The data shows a systolic and a diastolic blood pressure of certain patients. Find the linear…
A: From the information, given that Thus, The value of slope is 1.0578 Obtain the value of…
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A: To test for auto correlation in the errors in a regression model, we use Breusch-Godfrey test.
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A: Given Information: The mean horsepower hp was 150 hp with a standard deviation of 36 hp. The mean…
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A: We have given that The equation of the regression line for the paired below is y = 3x.
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Q: A set of n=10 pairs of X and Y scores has SSx=10, SSy=60, and SP=20. What is the slope of the…
A: Given:
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A: Formula for predicted response value (Y) Y= bX + a Where X is explanatory variable
Q: In a fisheries researcher's experiment, the correlation between the number of eggs in the nest and…
A: The regression equation is y=0.72x+17.07.
Q: The correlation coefficient between two variables X and Y is r- 0.60. If S. = 1.50, S = 2.00, X= 10…
A: Given r=0.60, Sx=1.5, Sy=2, X=10, Y=20
Q: If two regression coefficients bxy = 0.85 and byx = 0.52 Find the correlation coefficient (r) ?…
A: Answer: From the given data, If two regression coefficients are, bxy = 0.85 byx = 0.52
Q: In performing regression analysis between the age of a car and the cars value, you calculate the…
A: To answer this question we have to know 1.What is correlation 2.Types of correlation and…
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: If two regression coefficients bxy = 0.78 and byx = 0.59, find the correlation coefficient (r)?…
A: Answer: From the given data, The regression coefficients are b xy = 0.78 and b yx = 0.59
Q: A football coach is looking for a way to identify players that are "under weight". The coach decides…
A: Answer is 155 pounds
Q: Cou run a regression analysis on a bivariate set of data (n = obtain the regression equation 39).…
A: Predicted response = 343.327 On average predicted value = 343.327/39 =8.803
Q: A set of n=20 pairs of x and y scores had SSx=10,SSy=40,and SP=30.What is the slope for the…
A: Given : n=20SSx=10SSy=40SP=30We want to find, the value of slop for regression equation for…
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Q: A regression was run to determine if there is a relationship between hours of study per week (x) and…
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Q: Determine the regression equation in three different ways (using raw data, deviation data and…
A: Let y = a+bx be the regression equation Y is the dependent variable and x is the independent…
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 was run to determine if there is a relationship between hours of TV watched per day (x)…
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Q: Data were obtained about women belonging to a gym. The women had an average height of 67 inches with…
A: Given information:- μHeight=67σHeight=3μWeight=160σWeight=15r=0.45 Note: As per guidelines we will…
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A: Given data:
Q: What is the slope of the regression line ? What is the y-intercept of the regression line?…
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Q: A team from UNHABITAT took a random sample of 230 households in a city to better understand how the…
A: given data n = 230R2 = 18.3% = 0.183correlation between variables = ?
Q: The linear regression equation for predicting systolic blood pressure from age is as follows: . Find…
A: The regression equation for predicting systolic blood pressure from age is, The actual systolic…
Q: The data show systolic and diastolic blood pressure of certain people. Find the regression equation,…
A: The data shows the systolic and diastolic blood pressure of certain people.
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
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Q: coefficient is -0.281 and the regression equation is = 27.68 2.2x. The mean for the x data values…
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Q: What is the value of r2? Use the square root and your knowledge about the slope of the regression…
A: Note: According to Bartleby guidelines expert solve only one question and maximum 3 subpart of the…
Q: For 40 eruptions of the Old Faithful geyser in Yellowstone National Park, duration times (sec) were…
A: Linear Equation: Y = Β0 + Β1X where Β0 is a constant, Β1 is the slope (also called the regression…
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- The equation used to predict college GPA (range 0-4.0) is y = 0.17 +0.51x, +0.002x,, where x, is high school GPA (range 0-4.0) and x, is college board score (range 200-800). Use the multiple regression equation to predict college GPA for a high school GPA of 3.8 and a college board score of 500. The predicted college GPA for a high school GPA of 3.8 and a college board score of 500 is (Round to the nearest tenth as needed.)The coefficient of correlation in a simple regression analysis is = -0.6. The coefficient of determination for this regression would be 0.36 - 0.36 0.6 0.13 O 0.6 or + 0.6You are given below the following information about advertisement expenditure and sales : Adv. Exp. (X) crore) Sales (Y) crore) Mean S.D. Correlation coefficient 20 120 25 0.8 () Calculate the two regression equations. (i) Find the likely sales when advertisement expenditure is (ji) What should be the advertisement budget if the company wants to attain sales target 150 crore ? 25 crore. of
- A regression was run to determine if there is a relationship between hours of study per week (z) and the test scores (y)- The results of the regression were: y=ax+b a=5.701 b=31.89 r2=0.660969 r=0.813 Use this to predict the final exam score of a student who studies 3.5 hours per week, and please round your answer to a whole number. Question Help: Message instructor Submit Question rse here to search RThe correlation between first year college GPA and high school GPA is 0.683. If a simple linear regression was conducted to predict first year college GPA from high school GPA what does the correlation tell us about the fit of the model?Nine pairs of data yield a regression equation of y=0.93x + 19.4, with r= 0.967 and an average y value of 64.70. What is best predicted value for y when x =65? Is it 79.85, 25.74, 89.61, 57.82, 70.55, 96.70, 19.40, or 64.70?
- A car lot wants to predict the # of car accessories they need to sell monthly based on the number of cars sold. The car lot owner randomly selects 12 months of data. The simple linear regression equation is ý = 14 - 2x. The coefficient of determination is 0.6364. What is the correlation coefficient to describe the relationship between these two variables? Multiple ChoiceA regression was run to determine if there is a relationship between hours of study per week (X) and the test scores (y ). The results of the regression were:y=ax+ba=5.931b=20.1r2=0.748225r=0.865Use this to predict the final exam score of a student who studies 3 hours per week, and please round your answer to a whole number.It is known that the linear regression equation: y= -2.88+1.77x, with a coefficient of determination of 0.81. Based on the two information, the correlation coefficient is
- Two lines of regression are 2x - y - 20 = 0, 2y - x + 4 = 0. The correlation coefficient isQ1: [Regression and Correlation] The index of biotic integrity (IBI) is a measure of water quality in streams. As a data analyst you must monitor, track, and predict changes in water quality. You want to create a simple linear regression model that will allow you to predict changes in IBI in forested area. The following table conveys sample data from a coastal forest region and gives the data for IBI and forested area in square kilometers. Let forest area be the predictor variable (x) and IBI be the response variable (y). IBI X 47 72 21 72234 19 58 49 Forest Area Y 38 59 27 24 63 49 45 Required a. Q2: [Naïve Bayes] a. Write the pseudo-code of the following Naïve Bayes algorithm b. Consider the given dataset that classifies animals into two distinct classes. The classes are labeled as 'cat' and 'dog'. Use Naive Bayes classifier to figure out the class (cat/dog) of an instance if it has the following values of attributed Plot Scatter graph b. Determine the regression equation c. Compute…Find correlation coefficient between the exchange and expenditure from the datagiven below: Obtain the regression equation of exchange on expenditure expenses and find out theexpected exchange of a firm when expenditure is Rs. 25 lakhs. Also find coefficientof determination and interpret your result.