According to the model, If the placement test score is 79, the course grade will be
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- Respiratory Rate Researchers have found that the 95 th percentile the value at which 95% of the data are at or below for respiratory rates in breath per minute during the first 3 years of infancy are given by y=101.82411-0.0125995x+0.00013401x2 for awake infants and y=101.72858-0.0139928x+0.00017646x2 for sleeping infants, where x is the age in months. Source: Pediatrics. a. What is the domain for each function? b. For each respiratory rate, is the rate decreasing or increasing over the first 3 years of life? Hint: Is the graph of the quadratic in the exponent opening upward or downward? Where is the vertex? c. Verify your answer to part b using a graphing calculator. d. For a 1- year-old infant in the 95 th percentile, how much higher is the walking respiratory rate then the sleeping respiratory rate? e. f.The following Excel tables are obtained when "Score received on an exam (measured in percentage points)" is regressed on "percentage attendance" for 22 students in a Statistics for Business and Economics course. Regression Statistics Multiple R R Square Standard Error 20.25979924 0.142620229 0.02034053 Observations 22 Coefficients Standard Error T Stat Intercept 39.39027309 37.24347659 1.057642216 Attendance 0.340583573 0.52852452 0.644404489 Estimate the "Score received on an exam" if "percentage attendance" student is 75. Select one: a. 39.6 b. 45.6 c 78.7 d. 64.9A regression analysis done with Excel for the relationship between The placement test scores and the final grades for 20 students who took the regular course were recorded and yielded the following output. SUMMARY OUTPUT Regression Statistics Multiple R 0.45351 R Square 0.20567 Adjusted F 0.16155 Standard E 16.1747 Observatic 20 ANOVA df SS MS F gnificance F 0.04461 1 1219.35 1219.35 4.66073 Regression Residual Total 18 4709.2 261.622 19 5928.55 Chart Area Coefficientsandard Ernt Stat Intercept 32.5059 12.6386 2.57195 P-value Lower 95% Upper 95%ower 95.0%pper 95.0% 0.0192 5.95316 59.0587 5.95316 59.0587 X Variable 0.47106 0.2182 2.15887 0.04461 0.01264 0.92948 0.01264 0.92948 What percent of the total sum of squares (SST) can be explained by using the estimated regression equation to predict the course grade? A. 45.35% B. 20.57% C. 79.43% D. 21.82%
- The following result was reported in the text for a regression of winning percentage on market size in the NBA. Coefficient on Market Size = 20 t-statistic for the coefficient on market size = 0.6667 What is the standard error for the coefficient on Market size?Five students provided data regarding the number of hours they spent on studying (TimeStudy) and their GPA. The data are as follows. Answer the following questions. TimeStudy GPA Student 1 2.00 3.50 Student 2 4.00 3.70 Student 3 5.00 3.30 Student 4 3.00 2.60 Student 5 4.00 3.40 Where SS(residual)=∑i(yi−yˆi)^2 is 0.6829 Calculate (by hand) the SStotal and SSmodel. What does mean by “goodness of fit”? What is the F-ratio for testing the “goodness of fit”? Is it statistically significant? Calculate this question by hand. What does tobs = 3.47 mean? What does tcrit = 3.47 mean? If the ƞ2 in an experiment is 0.6, give any possible value of ω2.A regression analysis done with Excel for the relationship between The placement test scores and the final grades for 20 students who took the regular course were recorded and yielded the following output. SUMMARY OUTPUT Regression Statistics Multiple R 0.45351 R Square 0.20567 Adjusted F 0.16155 Standard E 16.1747 Observatic 20 ANOVA df F gnificance F Regressior 1 0.04461 Residual 18 4709.2 261.622 19 5928.55 Total Chart Area Coefficientsandard Ernt Stat 32.5059 12.6386 2.57195 Intercept P-value Lower 95% Upper 95%ower 95.0%pper 95.0% 0.0192 5.95316 59.0587 5.95316 59.0587 0.92948 X Variable 0.47106 0.2182 2.15887 0.04461 0.01264 0.92948 0.01264 Which among the following phrases best described the degree of relationship or association between the two variables, that is between the course grade and the placement test score? A. strong positive linear association B. moderate positive linear association C. strong negative linear association D. moderate negative linear association MS SS…