Question

In: Statistics and Probability

Use the following convention table for R-square. From 0.0 to 0.2 Poor From 0.2 to 0.4...

Use the following convention table for R-square.

From 0.0 to 0.2 Poor
From 0.2 to 0.4 Decent
From 0.4 to 0.6 Good
From 0.6 to 0.85 Very Good
From 0.85 to 1.0 Excellent

Upload the ManBody data. Check which of the following four categories (BODYFAT, WEIGHT, HEIGHT, and KNEE) is the most correlated to AGE category. Make a scattered plot chart with X representing the most correlated category and Y representing the AGE, plot the line and compute the R-square. Answer the questions:

I) What category did you choose for X? (10 points)

  • a. WEIGHT
  • b. BODYFAT
  • c. HEIGHT
  • d. KNEE

II) Given the plot what is the estimated slope? (10 points)

  • a. Between 0 and 0.1
  • b. Between 0.1 and 0.3
  • c. Between 0.3 and 1.3
  • d. Between 1.3 and 10.5
  • e. Between 10.5 and 40

III) What does each dot represent? (10 points)

  • a. AGE
  • b. WEIGHT
  • c. HEIGHT
  • d. PERSON
  • e. BODY FAT

IV) On your chart, there should be a dot that is furthest on the right. What is its approximate X-coordinate? (10 points)

  • a. Between 0 and 100
  • b. Between 100 and 200
  • c. Between 200 and 300
  • d. Between 300 and 400

data set:https://www.limes.one/Content/DataFiles/Man_body.txt

Solutions

Expert Solution

(I)right choice is b. BODYFAT

following correlation matrix is generated using ms-excel and found that BODYFAT IS MOST CORRELATED WITH AGE out of the given four variable

(II) right choice is c. Between 0.3 and 1.3

here slope is 0.472 from the given scatter plot information which was created using ms-excel

(III) right choice is a. AGE

(IV) right choice is a. Between 0 and 100

following scatter plot is generated using ms-excel

BODYFAT DENSITY AGE WEIGHT HEIGHT ADIPOSITY NECK CHEST ABDOMEN HIP THIGH KNEE ANKLE BICEPS FOREARM WRIST
BODYFAT 1
DENSITY -0.98622 1
AGE 0.292334 -0.27764 1
WEIGHT 0.609576 -0.59406 -0.01275 1
HEIGHT -0.08928 0.097881 -0.17165 0.308279 1
ADIPOSITY 0.72664 -0.71473 0.118851 0.887352 -0.02489 1
NECK 0.490186 -0.47297 0.113505 0.830716 0.25371 0.777857 1
CHEST 0.700514 -0.6826 0.17645 0.894191 0.134892 0.911799 0.784835 1
ABDOMEN 0.813783 -0.79895 0.230409 0.887995 0.087813 0.92388 0.754077 0.915828 1
HIP 0.623558 -0.60933 -0.05033 0.940884 0.170394 0.883269 0.734958 0.82942 0.874066 1
THIGH 0.559871 -0.55309 -0.2001 0.868694 0.148436 0.812706 0.695697 0.729859 0.766624 0.89641 1
KNEE 0.509603 -0.49504 0.017516 0.853167 0.286053 0.71366 0.672405 0.719496 0.737179 0.823473 0.79917 1
ANKLE 0.269971 -0.26489 -0.10506 0.613685 0.264744 0.500317 0.477892 0.482988 0.453223 0.558387 0.539797 0.611608 1
BICEPS 0.491296 -0.48711 -0.04116 0.800416 0.207816 0.746384 0.731146 0.727907 0.684983 0.739273 0.761477 0.678709 0.484855 1
FOREARM 0.354495 -0.35165 -0.08506 0.630301 0.228649 0.558594 0.62366 0.580173 0.503316 0.545014 0.566842 0.555898 0.41905 0.678255 1
WRIST 0.341286 -0.32572 0.213531 0.729775 0.322065 0.625907 0.744826 0.660162 0.619832 0.63009 0.558685 0.664507 0.566195 0.632126 0.585588 1

Related Solutions

Use the following convention table for R-square. From 0.0 to 0.2 Poor From 0.2 to 0.4...
Use the following convention table for R-square. From 0.0 to 0.2 Poor From 0.2 to 0.4 Decent From 0.4 to 0.6 Good From 0.6 to 0.85 Very Good From 0.85 to 1.0 Excellent Upload the ManBody data. Create a scattered plot chart with X representing the Knee size and Y representing the Ankle size (both in centimeters); plot the line and compute the R-square. Answer the questions: I) If a person has knee size equal to 40 cm, according to...
Use the following convention table for R-square. From 0.0 to 0.2 Poor From 0.2 to 0.4...
Use the following convention table for R-square. From 0.0 to 0.2 Poor From 0.2 to 0.4 Decent From 0.4 to 0.6 Good From 0.6 to 0.85 Very Good From 0.85 to 1.0 Excellent Upload the ManBody data. Check which of the following four categories (BODYFAT, WEIGHT, HEIGHT, and KNEE) is the most correlated to AGE category. Make a scattered plot chart with X representing the most correlated category and Y representing the AGE, plot the line and compute the R-square....
POOR FAIR GOOD EXCELLENT PROBABILITY 0.1 0.4 0.3 0.2 Batch - $200,000 $1,000,000 $1,200,000 $1,300,000 Custom...
POOR FAIR GOOD EXCELLENT PROBABILITY 0.1 0.4 0.3 0.2 Batch - $200,000 $1,000,000 $1,200,000 $1,300,000 Custom $100,000 $300,000 $700,000 $800,000 Group Technology - $1,000,000 -$500,000 $500,000 $2,000,000 What is the EVPI = Expected Value of Perfect Information?
Choose values of r=4%, i=3%, p=1.5%, a=0.4 and b=0.2 and provide an estimation of the weighted...
Choose values of r=4%, i=3%, p=1.5%, a=0.4 and b=0.2 and provide an estimation of the weighted opportunity of capital. When would you choose this discount rate? please answer this ASAP it would be highly appreciated to you thanks!
Use Euler's method with step size 0.2 to estimate y(0.4), where  y(x) is the solution of the...
Use Euler's method with step size 0.2 to estimate y(0.4), where  y(x) is the solution of the initial-value problem y' = 3x − 4xy, y(0) = 0. (Round your answer to four decimal places.) y(0.4) = (b) Repeat part (a) with step size 0.1. (Round your answer to four decimal places.) y(0.4) =
Consider the following data: x -4 -3 -2 -1 0 P(X=x) 0.2 0.1 0.2 0.1 0.4...
Consider the following data: x -4 -3 -2 -1 0 P(X=x) 0.2 0.1 0.2 0.1 0.4 Step 2 of 5 : Find the variance. Round your answer to one decimal place. Step 3 of 5 : Find the standard deviation. Round your answer to one decimal place.
Use the appropriate table to find the following chi-square value:   for df = 2.
Use the appropriate table to find the following chi-square value:   for df = 2.
Use R to generate two random numbers n11, n21 from the Binomial distribution: Bin(10, 0.4). Print...
Use R to generate two random numbers n11, n21 from the Binomial distribution: Bin(10, 0.4). Print your results. Please don’t forget to use the command set.seed(101) before the commands gen- erating the random numbers. (b) (2 points) Use the R command ntable < − array(data = c(n11, n21, n1plus-n11, n2plus-n21), dim = c(2,2)) to create a 2 × 2 table using the numbers generated in part (a) above. Print your table. (c) (3 points) Perform the Fisher’s exact test on...
4. Explain the difference between R-square and R-square (adj). Which one should you use? Why? Provide...
4. Explain the difference between R-square and R-square (adj). Which one should you use? Why? Provide an example.
Which of the following interpretations of a Chi-square test is CORRECT? (you may use the table...
Which of the following interpretations of a Chi-square test is CORRECT? (you may use the table below as reference). a. Assume that a Chi-square test was conducted to test the goodness of fit to a 3:1 ratio and that a Chi-square value of 2.62 was obtained. The null hypothesis should be accepted. b. With the test of a 3:1 ratio, there are two degrees of freedom. c. The larger the Chi-square value, the more likely your results are real. d....
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT