What does the residual plot tell you about the linear regression model? *Fitted ValueThe plot suggests that the residuals having a constant variance.The linear model could not be used for prediction.We can conclude that there is significant relationship between the variables.The linear model is appropriate to explain the relationship between the variables.A researcher identified a random sample of 20 apartments near BayanLepas Commercial Area. The dataset of the apartment price (in RM 1000)and the distance (km) to the commercial area is collected. The parameterestimation output is:*ALL CALCULATIONS MUST BE MADE IN THREE DECIMAL PLACESStandardCoefficientsErrort Statp-valueIntercept215.81010.71420.1438.52x10-14X Variable 1-10.2033.900-2.6160.017511Calculate:For an apartment with a distance to commercial area is 3 km, the apartment price ispredicted to be_.The residual at point (120, 3) is _ .enps

As per our guidelines, we are allowed to answer first question only. Thanks Given Residual plot :…

What does the residual plot tell you about the linear regression model? * Fitted Valae The plot suggests that the residuals having a constant variance. The linear model could not be used for prediction. We can conclude that there is significant relationship between the variables. The linear model is appropriate to explain the relationship between the variables. emp

What does the residual plot tell you about the linear regression model? * Fitted Valae The plot suggests that the residuals having a constant variance. The linear model could not be used for prediction. We can conclude that there is significant relationship between the variables. The linear model is appropriate to explain the relationship between the variables. emp

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Canvas -→ X C0| ® E Exhibit 6 Part of an Excel regression output relating salary for programmer (dependent variable) with three independent variables: Test score, Graduate Degree, and Experience is shown below. Coeffic. Std. Err. t Stat P-value Intercept 7.9448 7.3808 1.0764 0.2977 Test Score 1.1476 0.2976 4.8561 0.0850 Grad. 0.1969 0.0899 2.1905 0.0011 Degree Experience -2.2804 1.9866 -1.0479 0.3679 Refer to Exhibit 6. Based on the Excel output, at 95% confidence (alpha = 0.05) which of the independent variables in the output contributes significantly to explain salary? O Experience Grad Degree Intercept Test score
What does the residual plot tell you about the linear regression model? * 20 10 -10 -20 20 30 40 50 60 70 Fitted Value The plot suggests that the residuals having a constant variance. The linear model could not be used for prediction. O we can conclude that there is significant relationship between the variables. O The linear model is appropriate to explain the relationship between the variables. Residual
Demand for Smartphones The following table shows worldwide sales of a type of phone and their average selling prices in 2012, 2013, and 2017. Year 2012 2013 2017 Selling Price p ($100) 4 Sales q (billions) 0.5 3 1 2 2 Find the regression line (round coefficients to one decimal place). q(p) = 1.0166 X Use the regression line to estimate the demand (in millions of units sold) when the selling price was $320. 1016.6 million
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What is the regression equation? (Round to decimal one) The best predicted weight of a bear with a chest size 43 inches is how many pounds???? Round to decimal one)
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Find the equation for the line of best fit, by clicking on “calculate least squares regression line.” Include this equation as well as a screenshot of the scatter plot containing the line of best fit.