b) Do you think a linear model is appropriate? Explain. A. The scatterplot appears to have slight curvature at one end of the age distribution, so a linear regression may not be completely appropriate. OB. The scatterplot shows a curved line, so a linear regression is not appropriate unless the variables are transformed to make the scatterplot more linear. OC. The scatterplot shows points in a tightly clustered single stream that form a straight line, so a linear regression is definitely appropriate. O D. The scatterplot does not show any discernable trend or pattern, so a linear regression is definitely not appropriate. c) Find the equation of the regression line. Browsing Time =+Age (Round the constant to one decimal place as needed. Round the Age coefficient to three decimal places as needed.) !!

b) Do you think a linear model is appropriate? Explain. A. The scatterplot appears to have slight curvature at one end of the age distribution, so a linear regression may not be completely appropriate. OB. The scatterplot shows a curved line, so a linear regression is not appropriate unless the variables are transformed to make the scatterplot more linear. OC. The scatterplot shows points in a tightly clustered single stream that form a straight line, so a linear regression is definitely appropriate. O D. The scatterplot does not show any discernable trend or pattern, so a linear regression is definitely not appropriate. c) Find the equation of the regression line. Browsing Time =+Age (Round the constant to one decimal place as needed. Round the Age coefficient to three decimal places as needed.) !!

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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A realty company would like to develop a regression model to help it set weekly rentai rates for beach properties (y). The independent variables for this model are the number of bedrooms a property has (x). its age (x2), and the number of biocks away from the ocean it is (x). Use the accompanying data to complete parts a through e below. E Click the icon to view the rental property data. a) Using technology, construct a regression model using all three independent variables. -(8992 6) (295.6)x + (41.7) x2 + (-3146.3) x (Round to one decimal place as needed.) b) Test the significance of each independent variable using a= 0.05. Test the significance of x. Identify the null and alternative hypotheses. Ho: , = 0 H: B, 0 (Type integers or decimals.) Calculate the appropriate test statistic. The test statistic is 1.24 (Round to two decimal places as needed.) Determine the appropriate critical value(s) for a0.05. The critical value(s) is(are) (Round to two decimal places as needed. Use a…
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c. What are the 2 main pieces of information you get from the linear regression model? Should I go back to the data set and recalculate slope and y intercept if I already have determined the equation of the trend line?
Kindly answer letters a-e
6. Interpret the slope of the regression line in context .
Show step by step on EXCEL. I am having a hard time on this.
Two variables have a positive linear correlation. Is the slope of the regression line for the variables positive or negative? A. The slope is negative. As the independent variable increases the dependent variable also tends to increase. B. The slope is negative. As the independent variable increases the dependent variable tends to decrease. C. The slope is positive. As the independent variable increases the dependent variable also tends to increase. D. The slope is positive. As the independent variable increases the dependent variable tends to decrease.
Show your work please.
Please help, this is for financial mathematics, thank you so much!!!!
need the correct solves asap plz
Researchers at a large nutrition and weight management company are trying to build a model to predict a person’s body fat percentage from an array of variables. A variables selection method is used to build a regression model. SAS output for the final model is given in photo. Question: What percentage of the variation in percent body fat remains unexplained, even after introducing weight and abdomen circumference into the model, and then also determine the interpretation of the slope for weight?