Q#1: If r = -0.58 and n = 40, what is our statistic and critical value? What is the appropriate conclusion for this analysis?O Telomere length and chronicity are positively associated, but there is a lot of variability in the dataO Telomere length and chronicity are negatively associated, and there is little variability in the dataO Telomere length and chronicity are not significantly associated, and there is a lot of variability in the dataO Telomere length and chronicity are not significantly associated, but there is little variability in the dataO Telomere length and chronicity are negatively associated, but there is a decent amount of variability in thedataIf we were to increase the sample size of the previous study, which of the following patternsmight we expect to see?O insignificant associationO a stronger correlation coefficientO a weaker R2 valueO a less extreme statistic Does stress age you? As part of an investigation, Epel et al. (2004). E measured telomere lengthin blood mononuclear cells of healthy premenopausal women, each of whom was the biologicalmother and caregiver of a chronically ill child. Telomeres are complexes of DNA and protein thatcap chromosomal ends. They tend to shorten with cell divisions and with advancing age. A scatterplot of the data is shown below. Telomere length is measured as a ratio compared to a standard.Chronicity is the number of years since the child's diagnosis. The data in the scatter plot can besummarized as follows1.8-Telomere length (ratio)1.6-1.4-1.2-1.0-N.23030468Chronicity (years)1012

Let ρ denotes the population correlation coefficient. Let us consider the hypothesis: H0:ρ=0 vs.…

Answered: If r = -0.58 and n = 40, what is our…

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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5. Is ultrasound a reliable method for determining the gender of an unborn baby? The data on 100 births is given below. a. What is P(F)? Write your answer as a decimal. b. What is P(F|Pm)? Round your answer to 4 decimal places. c. True or False: F and Pm are independent. Write either TRUE or FALSE
Samples of n = 81 were selected from a normal population with μ = 737 and σ = 90. What proportion of randomly selected samples will have a mean less than 750? Round your answer to 4 decimal places.
You run a regression analysis on a bivariate set of data (n=109). With x¯=72.2 and y¯=34.7, you obtain the regression equation y= - 0.898x - 42.514 with a correlation coefficient of r=-0.086. You want to predict what value (on average) for the response variable will be obtained from a value of 140 as the explanatory variable. What is the predicted response value? y =
8. High levels of cholesterol in the blood increase the risk of heart disease. For 14-year-old boys, the distribution of blood cholesterol is approximately Normal with a mean of 170 milligrams of cholesterol per deciliter of blood (mg/dl) and a standard deviation of 20 mg/dl. Which equation could be used to solve for the 30th percentile of this distribution? x-170 (a)-0.30 = 20 (b) 0.30 = X-170 20 (c)-0.52 = (c) 0.30 = X-170 20 X-170 (d) 0.52= 20 170-x 20
2. I surveyed 150 adults in the U.S. and asked them how many hours of TV the watched on average per week. I then ran a regression of # of hours of TV on whether or not they were a college graduate (=1 if yes, =0 if no), their age in years, the number of children in their household, and whether or not they live a cold climate (=1 if latitude is greater than 41.2, =0 otherwise). The results fro the regression are shown in the table below. Estimate p-value College Graduate -0.8 0.003 Age 0.1 0.150 Number of Children 0.10 0.521 Cold Climate 1.8 0.047 Intercept -1.23 0.041 (a) What is the dependent variable in this regression? (b) What are the independent variable(s) in this regression? (c) What is the unit of analysis? (d) What is the sample size? (e) What is one binary variable used in this analysis? (f) What is one ratio variable used in this analysis? (g) What is the predicted number of TV hours watched by a 50 year old, colleg graduate, with no children at home who lives in Arizona…
If you have a b of 0.56 in a regression equation, what does this mean? For every one-unit increase in x, you get an increase of 0.56 in y r = .31 On average, the variability of real scores around the regression line is 0.56 For every 1 standard deviation increase in x, you get an increase of 0.56 standard deviations in y
You run a regression analysis on a bivariate set of data (n = 120). With i = 66.3 and y = 50.6, you obtain the regression equation y = 4.097x – 11.636 with a correlation coefficient of r = 0.56. You want to predict what value (on average) for the response variable will be obtained from a value of 120 as the explanatory variable. What is the predicted response value? y = (Report answer accurate to one decimal place.)
Q1. A psychologist conducted a study on the relationship between introversion and shyness. The values are results for scales of introversion and shyness. High positive scores on each scale indicate high introversion or shyness; and high negative scores indicate low introversion or shyness. Data collected from 10 people as follows: Introversion 4 -7 -1 0 6 7 -4 -9 -5 8 Shyness 11 -7 -1 -3 0 7 -1 -8 -1 5 a) Compute the correlation coefficient relating introversion and shyness scores. b) Find the regression equation which predicts introversion from shyness. c) What introversion score would you predict from a shyness score of 7?
Lecture(8.8): The amount of time people engage in physical activity mat be related to health outcome. Those who report that they spend more than 15 hours are put into one while those who spend less 10 were put into another group. (Those who fall in between 10 and 15 were left out of the study); The reaearcher then ask the participants to wear a monitor for one month. The average time in minutes is recorded and shown below . Is there any evidence that on average people who watch less than 10 hours watching televsion spend more time on physical activity.?. Test the hypotheses at (alpha=0.05) using the 5 step procedure <10 hours 75 63 118 35 82 >15 hours 62 6 78 43 22 33
You run a regression analysis on a bivariate set of data (n=105). With x=77.7 and y=42.3, you obtain the regression equation y=2.959x−1.146 with a correlation coefficient of r=0.093. You want to predict what value (on average) for the response variable will be obtained from a value of 190 as the explanatory variable.What is the predicted response value?y = (Report answer accurate to one decimal place.)

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