What is the difference between the critical value of z and the observed value of z?
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A: y^=-105+1.15xy¯=81.58x¯=168.11r=0.211P-value=0.035
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What is the difference between the critical value of z and the observed value of z?
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- A correlation of zero between two quantitative variables means thatExplain why the critical value of t, one-tailed, alpha = .05 is the same as the critical value of t, two-tailed, a .10 .Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 130 to 192 cm and weights of 38 to 150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yield x 167.67 cm. y=81.53 kg. r=0.356, P-value=0.000, and y= -106 +1.14x. Find the best predicted value ofy (weight) given an adult male who is 177 cm tall. Use a 0.05 significance level. The best predicted value of y for an adult male who is 177 cm tall is kg. (Round to two decimal places as needed.)
- Consider a single variable model to estimate the effect of in-person lecture attendance on university students' WAMs (weighted average marks): (C1) WAM = β0 + β1Attend + u Where: WAMis a student's weight average mark Attendis the proportion of lectures attended by a student in an academic year Using the information above, answer the following 3 questions. [i] Explain why Attend might be endogenous in Model (C1). What does this suggest about E [u ∣ Attend]? [ii] Suppose that student attendance is related to a student's conscientiousness. Does this mean that conscientiousness would be a good instrumental variable for Attend? Why or why not? Explain your reasoning. [iii] Unfortunately a major strike by railway works disrupts transport links to 3 of the 7 universities in a city for a period of 2 weeks. This temporarily means that students who are enrolled at those 3 affected universities cannot attend lectures in person. Carefully explain how you would use this information to…You are performing a two-tailed matched-pairs test with 39 pairs of data.If α=0.2, find the positive critical value, to two decimal places.Q3 // In a detailed study of the productivity of a laboratory, the age distribution of its workers was analyzed, and the results were as follows, so the kurtosis coefficient is equal? (15 degrees) class 10-19 20-29 30-39 40-49 fi 20 48 51 30
- A regression model to predict Y, the state burglary rate per 100,000 people for 2005, used the following four state predictors: X1 = median age in 2005, X2 = number of 2005 bankruptcies, X3 = 2004 federal expenditures per capita (a leading predictor), and X4 = 2005 high school graduation percentage. (a) Fill in the values in the table given here for a two-tailed test at α = 0.01 with 33 d.f. (Negative values should be indicated by a minus sign. Leave no cells blank - be certain to enter "0" wherever required. Round your t-values to 3 decimal places and p-values to 4 decimal places.) Predictor Coefficient SE tcalc p-value Intercept 4,579.5465 791.5050 AgeMed -27.292 12.1893 Bankrupt 19.5612 12.0754 FedSpend -0.0132 0.0116 HSGrad% -27.5839 7.1731 (b-1) What is the critical value of Student's t in Appendix D for a two-tailed test at α = .01 with 33 d.f? (Round your answer to 3 decimal places.) t-value = (b-2) Choose the correct option.…Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 135 to 193 cm and weights of 39 to 150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yield x = 167.55 cm, y = 81.42 kg, r= 0.255, P-value = 0.010, and y = - 108 + 1.17x. Find the best predicted value of y (weight) given an adult male who is 137 cm tall. Use a 0.05 significance level. The best predicted value of y for an adult male who is 137 cm tall is (Round to two decimal places as needed.) kg.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…
- Using 81 quarterly observations on the growth rate of employment (Y) and the growth rate of output (X), the following regression results are obtained by ordinary least squares (t = 1, 2,...,81): -0.002+0.105X+0.730Y-1+0.063X-1, (0.001) (0.014) (0.045) (0.016) BG 1.100 [0.363], WH=1.474 [0.175], RESET = 0.081 [0.777], R² = 0.8827, SSR 0.00061, -0.002+0.086(X+X-1)+0.711Y-1, (0.001) (0.011) (0.045) R² = 0.8767, SSR = 0.00065. is the fitted value of the regression; figures in parentheses are the standard errors of the estimated coefficients; R² is the coefficient of determination; SSR is the sum of squared residuals; BG is the Breusch-Godfrey test for fourth-order autocorre- lation; WH is White's test for heteroskedasticity; RESET is Ramsey's regression specification error test; figures in square brackets are the p-values of BG, WH and RESET. Test the null hypothesis that the coefficients on X and X-1 in the first regres- sion are equal against the alternative hypothesis that they are not…Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 138 to 187 cm and weights of 39 to 150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yield x= 167.42 cm, y= 81.38 kg, r= 0.241, P-value = 0.016, and y = - 105+ 1.12x. Find the best predicted value of y (weight) given an adult male who is 161 cm tall. Use a 0.10 significance level. %3D The best predicted value of y for an adult male who is 161 cm tall is (Round to two decimal places as needed.) kg.Suppose that approximately 40% of the population has Type O+ blood. You take a sample of 5 persons. Let Y denote the number of persons in the sample with Type O+ blood. Find each of the following. (a) Pr{Y = 2} = (b) Pr{Y < 2} = (c) Pr{Y ≥ 2} =
