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- In Table 11.2 the estimated coefficient on black is 0.084 in column (1),0.688 in column (2), and 0.389 in column (3). In spite of these large differences, all three models yield similar estimates of the marginal effect of race on the probability of mortgage denial. How can this be?2. In a cancer rehabilitation institute, there were incidence of post- radiation therapy toxicity on the pulmonary pulmonary function. A physiotherapist noticed that aerobic intervention might minimize the incidence of pulmonary toxicity in those patients. What is the research deigning, population and sample, outcome measures and statistical tools that you may employ to address the research question? Justify your answer with evidence. а.Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 139 to 192 cm and weights of 39 to 150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yield x = 168.18 cm, y=81.57 kg, r=0.409, P-value = 0.000, and y= -107 +1.07x. Find the best predicted value of y (weight) given an adult male who is 152 cm tall. Use a 0.01 significance level. Click the icon to view the critical values of the Pearson correlation coefficient r. The best predicted value of y for an adult male who is 152 cm tall is (Round to two decimal places as needed.) kg. Critical Values of the Pearson Correlation Coefficient r n 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 25 30 35 40 45 50 60 70 80 90 100 n Critical Values of the Pearson Correlation Coefficient r α=0.05 0.950 0.878 0.811 0.754 0.707 0.666 0.632 0.602 0.576 0.553 0.532 0.514 0.497 0.482 0.468 0.456 0.444 0.396 0.361 0.335 0.312 0.294 0.279 0.254 0.236 0.220 0.207…
- Cardiorespiratory fitness is widely recognized as a major component of overall physical well-being. Direct measurement of maximal oxygen uptake (VO2max) is the single best measure of such fitness, but direct measurement is time-consuming and expensive. It is therefore desirable to have a prediction equation for VO2max in terms of easily obtained quantities. A sample is taken and variables measured are age (years), time necessary to walk 1 mile (mins), and heart rate at the end of the walk (bpm) in addition to the VO2 max uptake. The equation from a multiple regression is (V02) = 0.01*(age) - 0.032*(HR) + 0.002*(time) + 5.305. If a person is 34 years old, has a heart rate of 107 bpm, a walking time of 14 minutes, and a maximum oxygen intake of 21.252 L/min, the residual would be 19.003. What is the best interpretation of this residual? Question 25 options: 1) The heart rate is 19.003 bpm larger than what we would expect. 2) The…9. From a psychological knowledge-claim point of view, an analysis of data based on for repeated-measures is noteworthy because the analysis is based on how each and every sampled individual shows variation on the dependent variable (DV) rather than how groups of sampled individuals show variation on the DV . a, true b. false In a study with one sample of individuals measured on the dependent variable (DV) before and after treatment, the average difference between DV scores is found to depart from zero. This suggests the possibility of rejecting the null hypothesis (He: Dbar = 0) true or falseThe negative effects of ambient air pollution on children's lung function has been well established, but less research is available about the impact of indoor air pollution. The authors of an article investigated the relationship between indoor air-pollution metrics and lung function growth among children ages 6-13 years living in four Chinese cities. For each subject in the study, the authors measured an important lung-capacity index known as FEV1, the forced volume (in ml) of air that is exhaled in 1 second. Higher FEV1 values are associated with greater lung capacity. Among the children in the study, 518 came from households that used coal for cooking or heating or both. Their FEV1 mean was 1423 with a standard deviation of 329. (A complex statistical procedure was used to show that burning coal had a clear negative effect on mean FEV1 levels.) Suppose the investigators had made a rough guess of 330 for the value of s before collecting data. What sample size would be necessary to…
- -What is a research question for the following scenario? -What would the independent variable (IV) be for this question and scenario? -What would the dependant variable (DV) be for this question and scenario? How would the IV and the DV be measured?An experiment to test the effectiveness of regular treatments with fluoride varnish to reduce tooth decay involved 36 volunteers who had half of their teeth (the right side or left side, determined by a coin flip) painted with a fluoride varnish every six month for 5 years. At the end of the treatments, the number of new cavities during the treatment period was compared on treatment (fluoride varnish) side versus the control (no fluoride varnish) side. The appropriate statistical test for analyzing the results of this experiment is O Two samplet test for a difference in means O Two sample z test for a difference in proportions O One sample z test for a population mean O Paired t test for a mean difference O One sample z test for a population proportionTrue or False: Explain Suppose that OLS is unbiased for the following bivariate model: Y = B0 +B1X +u and suppose that the true slope coefficient B1 = 7. If you use the standard t-statistic to test the null hypothesis that the slope coefficient is equal to 0, the probability that you will reject the null hypothesis will increase if you reduce your sample size.
- We are trying to predict GPA (Y) using number of hours spent studying (X1) and gender (X2). Our indicator variable for gender with male as the base is: If = {1 if Female} {0 else Our model is Y = Bo + B1X1+ B2IF + 8 } What is the expected value of Y if gender is female? O HF = Bo + B1X1 O µF = 0 O HF = Bo + 1 O uF = Bo + B1X1 + B27. One of advantages of multiple regression is that it allows us to examine the effect of an exposure variable on the outcome variable while adjusting for no other variable in the model. A. TrueB. FalseC. None of the above 8. The particular method of analysis in a research study depends on: A. Research questionB. Study designC. Level of measurementD. All of the aboveE. A and B only 9. Reviewing relevant literature exposes the researcher to specific designs used by previous researchers. A. TrueB. FalseC. None of the aboveA study is performed to examine the relationship between the concentration of plasma antioxidant vitamins and cancer risk. Table 7-66, shows data for plasma vitamin-A concentration in stomach cancer patients and in controls (participants similar to the cancer patients but free of disease). Is there a significant vitamins between patients with stomach cancer and controls? Run the appropriate test at a 5% level of significance.