Consider the following set of dependent and independent variables. Using technology, check for thepresence of multicollinearity. If multicollinearity is present, take the necessary steps to eliminate it.yX₁X311317695101515513914821710212 1824 2632 25 39111620392174823 20 27817529Select the correct choice and, if necessary, fill in the answer boxes to complete your choice.(Type integers or decimals. Round to one decimal place as needed.)O A. Eliminate the variable x, which has a VIF ofNo more variables need to be eliminated.B. Eliminate the variable x which has a VIF ofa VIF ofO C. No variables need to be eliminated.Then, eliminate the variable x which has

First, we need to install and load the "car" package in R. Thereafter, we run the following code and…

Answered: Consider the following set of dependent…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.6: Regression And Median-fit Lines

Problem 2CYU

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ToothGrowth is a built-in R dataset. The ToothGrowth data frame gives the length of odontoblasts (cells responsible for tooth growth) in 60 guinea pigs. We are interested in some descriptive statistics related to the len column of ToothGrowth. We can access the data directly by using the assignment x <- ToothGrowth$len (In R use ?ToothGrowth for info on this dataset.)The values of ToothGrowth$len or x if defined as above are: 1] 4.2, 11.5, 7.3, 5.8, 6.4, 10.0, 11.2, 11.2, 5.2, 7.0, 16.5, 16.5, 15.2, 17.3, 22.5, 17.3[17] 13.6, 14.5, 18.8, 15.5, 23.6, 18.5, 33.9, 25.5, 26.4, 32.5, 26.7, 21.5, 23.3, 29.5, 15.2, 21.5[33] 17.6, 9.7, 14.5, 10.0, 8.2, 9.4, 16.5, 9.7, 19.7, 23.3, 23.6, 26.4, 20.0, 25.2, 25.8, 21.2[49] 14.5, 27.3, 25.5, 26.4, 22.4, 24.5, 24.8, 30.9, 26.4, 27.3, 29.4, 23.0It is highly recommended that you get your values for x from the assignment defined above above and not from copying the above printout of the data.a.Calculate the sample median of x. b. How many outliers…
ToothGrowth is a built-in R dataset. The ToothGrowth data frame gives the length of odontoblasts (cells responsible for tooth growth) in 60 guinea pigs. We are interested in some descriptive statistics related to the len column of ToothGrowth. We can access the data directly by using the assignment x <- ToothGrowth$len (In R use ?ToothGrowth for info on this dataset.)The values of ToothGrowth$len or x if defined as above are: 1] 4.2, 11.5, 7.3, 5.8, 6.4, 10.0, 11.2, 11.2, 5.2, 7.0, 16.5, 16.5, 15.2, 17.3, 22.5, 17.3[17] 13.6, 14.5, 18.8, 15.5, 23.6, 18.5, 33.9, 25.5, 26.4, 32.5, 26.7, 21.5, 23.3, 29.5, 15.2, 21.5[33] 17.6, 9.7, 14.5, 10.0, 8.2, 9.4, 16.5, 9.7, 19.7, 23.3, 23.6, 26.4, 20.0, 25.2, 25.8, 21.2[49] 14.5, 27.3, 25.5, 26.4, 22.4, 24.5, 24.8, 30.9, 26.4, 27.3, 29.4, 23.0It is highly recommended that you get your values for x from the assignment defined above above and not from copying the above printout of the data.Calculate the sample variance of x. Calculate the sample…
ToothGrowth is a built-in R dataset. The ToothGrowth data frame gives the length of odontoblasts (cells responsible for tooth growth) in 60 guinea pigs. We are interested in some descriptive statistics related to the len column of ToothGrowth. We can access the data directly by using the assignment x <- ToothGrowth$len (In R use ?ToothGrowth for info on this dataset.)The values of ToothGrowth$len or x if defined as above are: 1] 4.2, 11.5, 7.3, 5.8, 6.4, 10.0, 11.2, 11.2, 5.2, 7.0, 16.5, 16.5, 15.2, 17.3, 22.5, 17.3[17] 13.6, 14.5, 18.8, 15.5, 23.6, 18.5, 33.9, 25.5, 26.4, 32.5, 26.7, 21.5, 23.3, 29.5, 15.2, 21.5[33] 17.6, 9.7, 14.5, 10.0, 8.2, 9.4, 16.5, 9.7, 19.7, 23.3, 23.6, 26.4, 20.0, 25.2, 25.8, 21.2[49] 14.5, 27.3, 25.5, 26.4, 22.4, 24.5, 24.8, 30.9, 26.4, 27.3, 29.4, 23.0It is highly recommended that you get your values for x from the assignment defined above above and not from copying the above printout of the data.h. What proportion of the x values are within 1 sample…
ToothGrowth is a built-in R dataset. The ToothGrowth data frame gives the length of odontoblasts (cells responsible for tooth growth) in 60 guinea pigs. We are interested in some descriptive statistics related to the len column of ToothGrowth. We can access the data directly by using the assignment x <- ToothGrowth$len (In R use ?ToothGrowth for info on this dataset.)The values of ToothGrowth$len or x if defined as above are: 1] 4.2, 11.5, 7.3, 5.8, 6.4, 10.0, 11.2, 11.2, 5.2, 7.0, 16.5, 16.5, 15.2, 17.3, 22.5, 17.3[17] 13.6, 14.5, 18.8, 15.5, 23.6, 18.5, 33.9, 25.5, 26.4, 32.5, 26.7, 21.5, 23.3, 29.5, 15.2, 21.5[33] 17.6, 9.7, 14.5, 10.0, 8.2, 9.4, 16.5, 9.7, 19.7, 23.3, 23.6, 26.4, 20.0, 25.2, 25.8, 21.2[49] 14.5, 27.3, 25.5, 26.4, 22.4, 24.5, 24.8, 30.9, 26.4, 27.3, 29.4, 23.0It is highly recommended that you get your values for x from the assignment defined above above and not from copying the above printout of the data.i. Calculate the range of x. (one number) j. What number do…
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15 wheelchair users were randomly assigned to three groups with 5 in each group. These participants navigated in virtual-reality settings. Group 1 participants were in the virtual-reality setting (a building) as wheelchair users. Group 2 participants were in the virtual-reality setting in a wheelchair pushed by a walking person. Group 3 participants walked without aid in the virtual-reality setting. Joan measured the time each participant needed to complete the navigation of the virtual-reality setting. What is the independent variable(s)?

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