Homework Answers
Solution:
Correct option is
r squared
Explanation:
The r squared is called as coefficient of determination. It is give by taking square of correlation coefficient r.
In regression , r squared gives the amount of variation in the dependent variable explained by the predictor variables.
So , correct option is ]
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please answer all questions : 6-8
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Questions 6, 7, 10, 11 and 12.
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please answer all questions : 6-8
Question 6 1 pts A researcher examines the relationship between an individual's adjustment to becoming a parent and his/her age, while removing the influence of financial status. What procedure would allow such an analysis? o mixed correlation o split-half reliability o spurious correlation o partial correlation MULTIPLE CHOICE - 2 POINTS EACH Question 7 2 pts A researcher is interested in whether there are significant differences between men and women and religious preferences. In...
Question 19 2 pts The equation used to predict how long it will take to receive a package through the mail is ý=0.5 + 0.02x4 + 0.85x2 days, where xq is the distance to travel and X2 is the weight of the package. Use this equation to predict the how long it will take to receive a package that is 145 miles away and weighs 3.8 pounds. Homework Help: ZDF. Using a multiple regression equation to estimate values from independent...
Problem 2 (25 pts). The following multiple regression model is to study the tradeoff between time spent on sleeping and working and to look at other factors affecting sleep: sleep-a-bítoturk + bgeduc-b3age te where sleep and totwork (total work) are measured in minutes per week and educ and age are measured in years The estimated model is as follows. sleep3638.25 0.148 totwrk -11.13 educ + 2.2 age (5.88) (112.28) (0.017) n = 706, R-0.113 The standard error of each coefficient...
Questions 6, 7, 10, 11 and 12.
Question 6 1 pts Select the appropriate equation for the line of prediction from the SPSS output. Coefficients Standardized Coefficients Beta Sig. Unstandardized Coefficients Model B Std. Error 1 (Constant) 3.977 1.193 Variable 1 414 096 Variable 2 -2019 2011 a. Dependent Variable: Outcome (Y) 458 -181 t 3.333 4.313 -1.704 .001 000 ,093 O Yhat = 3.977 +4.313X1 - 1703X2 Yhat - 3.977 +0.458X, -0.181X2 Yhat = 3.333+4.313X1 - 1703X, Yhat =...
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Question 4 < > B0/2 pts 5399 Details 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 were: y=a+bx a=21.937 b=-1.002 r2=0.9216 r=-0.96 Use this to predict the number of situps a person who watches 12.5 hours of TV can do (to one decimal place)
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables have a significa correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The table below shows the heights (in feet) and the number of stories of six notable buildings in a city. Height, x 758 621 518 510 492 483 (a)...
A multiple regression model is to be constructed to predict the final exam score of a university student doing a particular course based upon their mid-term exam score, the average number of hours spent studying per week and the average number of hours spent watching television per week. Data has been collected on 30 randomly selected individuals: show data a) Find the multiple regression equation using all three explanatory variables. Assume that xi is mid-term score, x2 is hours studying...
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