1) EXPLANATORY VARIABLE IS AN INDEPENDENT VARIABLE WHICH IS HERE AGE.
2)
3) THE DIRECTION IS DOWNWARD.
THE FORM IS NEGATIVE CORRELATION.
4) By using excel function CORREL we have
r = -0.82389
Researchers measured the muscle mass of 16 women (grams per cubic centimeter). The table below shows...
SealChers measured the muscle mass of 16 women (grams per cubic centimeter). The table below shows the results, paired with the age of each woman. The first 15 data pairs are plotted below. 6 Muscle 82 91 Muscle Age 71 120 78 67 100 87 73 60 78 40 56 80 65 80 90 60 70 116 40 50 30 45 76 45 43 49 100 105 100 4· The least squares regression equation that predicts a woman's muscle mass...
Problem 8.4: Refer to Muscle Mass Problem 1.27. Second-order regression model (8.2) with independent normal error terms is expected to be appropriate. A. Fit regression model (8.2). Plot the fitted regression function and the data. Does the quadratic regression function appear to be a good fit here? Find R^2. B. Test whether or not there is regression relation; use α= .05. State the alternatives, decision rule and conclusion. C. Estimate the mean muscle mass for women aged 48...
(9 marks) 6) The data below shows the mass of 40 students in class. The measurement is the nearest kg. 55 70 57 73 55 64 60 48 59 72 58 54 69 51 63 78 75 64 65 57 71 78 76 62 66 62 61 53 67 49 76 63 63 76 52 76 71 61 56 71 A) Construct a frequency distribution table with 7 classes for the data given above? B) Draw the histogram for the...
7. (a) (15 pts.) With Figure 1 below showing shifts A and B, fill in the blank Table 1 showing the computation of the fraction of Bin Hours in each shift for the different time groups. VI V IV Group 1 A 9-12 13-16 17-20 21-24 Sunday Monday Tuesday Wednesday B B Thursday Friday Saturday Figure 1 Table 1 Computation of Fraction of Bin Hours in Each Shift Days Total in Shift A Fraction in Each Shift B Fraction in...
Read the following data ID Sex Age Height Weight Pulse FastGlucose PostGlucose 2304 F 16 61 102 100 568 625 1128 M 43 71 218 76 156 208 4425 F 48 66 162 80 244 322 1387 F 57 64 142 70 177 206 9012 F 39 63 157 68 257 318 6312 M 52 72 240 77 362 413 5438 F 42 62 168 83 247 304 3788 M 38 73 234 71 486 544 9125 F 56 64...
The data from data349.dat contains information on 78 seventh-grade students. We want to know how well each of IQ score and self-concept score predicts GPA using least-squares regression. We also want to know which of these explanatory variables predicts GPA better. Give numerical measures that answer these questions. (Round your answers to three decimal places.) (Regressor: IQ) R 2 (Regressor: Self-Concept) R 2 Which variable is the better predictor? IQ Self Concept obs gpa iq gender concept 1 7.94 112 ...
Im using SPSS to test whether the researchers’ predictions are true and to determine the proportion of cholesterol concentration that is explained by time watching TV. but I dont know what test to run. please help DATA is below Case Number 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39...
2. Using the data set of the Health Exam Results, conduct the following analysis between the variables of weight (WT) and Body Mass Index (BMI). Number the data set from 1 to 40, and select the following individuals: . Set 1 (Malo): 1, 5, 10, 13, 15, 18, 19, 24, 29, 31, 32, 33 .Set 2 (Fomalo): 4, 9, 15, 16, 17, 22, 23, 29, 33, 37, 38, 40 Draw a scatter diagram of the sample of 12 data set...
anyone who understands advanced math, please help! 13 The graph below approximates the rate of change of the price of tomatoes over a 60-month period, where p(t) is the price of a pound of tomatoes and is time (in months). 14 15 16 17 18 19 20 21 22 23 0.07 0.06 p'(t) 0.05 0 15 24 0.04 30 0.06 0 -0.02 0 0.06 25 26 27 0.03 45 p'(t) (dollars per month) 0.02 60 0.01 28 0 0 10...
please peovide coding in R: with a data of 13 variables and 200 observations Using the variable CLASS, test at 5% significance level to test the claim that the proportions of Freshmen, Sophomores, Juniors, and Seniors are the same. 2. Repeat part (a) for the variable COLLEGE. RLM ENGLISH MATH COMP 21 16 25 839SSESSOR 8 F 17 F N H ABCD 1 SEX HSP GPA AGE CREDITS CLASS COLLEGE MAJOR RESIDENCY TYPE 2 Transfer Blochm Resident F 75 2.39...