The null hypotheses should be rejected for p-value = 0.0153 and a 0.01 %3D
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- Test the null hypothesis that the slope coefficient for ‘GROWTH’ is less than or equal to 0.07 against the alternative that it is greater than 0.07 (i.e. <=0.07 OR >0.07). The critical t value is 1.645 for a one-tailed test at the 5% significance level.Book Pages (x) Price (y) A 500 $7.10 B 700 7.60 C 750 9.10 D 590 6.60 E 560 7.60 F 650 7.10 G 475 5.10 (a) Develop a least squares estimated regression line. (Round your numerical values to three decimal places.) (b) Compute the coefficient of determination. (Round your answer to four decimal places.) Explain its meaning. (Give your answer as a percent. Round your answer to two decimal places.) The value of the coefficient of determination tells us that % of the variability in |--?-- ☑ has been explained by the least squares regression equation.Q9: Assume that a researcher wants to estimate the proportion of “A” grade scorers in STAT101 course for the population of SEU students in 2020. Assume also that the proportion of “A” grade scorers in 2020 is not known. How many SEU students must be surveyed from STAT101 course in order to be 90% confident and the margin of error should not exceed two percentage points? (Given zα/2 = 1.64). 1- 1821 2- 1781 3- 1618 4- 1681
- Please show how to solve d) and e).After studying the milk yields of a randomly selected sample of 900 cows, researchers felt that the presence of white spots (WS;) on a cow's body led to a different level of milk production (MP;). The researchers estimate the OLS regression: where WS; is a binary variable of the form: WS;= MP;=5.84 +0.12×WS₁, (2.23) (0.06) 1, if the th cow has white spots O, if the th cow doesn't have white spots The 95% confidence interval for the coefficient B₁ is (,). (Round your answers to four decimal places.)After studying the milk yields of a randomly selected sample of 900 cows, researchers felt that the presence of white spots (WS;) on a cow's body led to a different level of milk production (MP;). The researchers estimate the OLS regression: where WS, is a binary variable of the form: WS₁ = MP = 5.36 +0.26 x WS₁, (2.23) (0.06) 1, if the th cow has white spots 0, if the th cow doesn't have white spots The 95% confidence interval for the coefficient ₁ is (₁). (Round your answers to four decimal places.) Based on this interval, we will the hypothesis P₁ = 0 at the 5% significance level. Which of the following statements describes the way in which the coefficient of the indicator variable could be interpreted in this case? O A. The coefficient is the sum of the conditional expectation of the presence of white spots on a cow with respect to the average milk production. OB. The coefficient is the rate of change in the milk production due to a unit change in the number of cows with white…
- sanjayUse the following linear regression equation to answer the questions. x3 = −17.3 + 4.1x1 + 9.6x4 − 1.6x7 a) Suppose that n = 10 data points were used to construct the given regression equation and that the standard error for the coefficient of x4 is 0.882. Construct a 90% confidence interval for the coefficient of x4. (Round your answers to two decimal places.) lower limit = ______ upper limit = ______ b) Using the information of part (e) and level of significance 1%, test the claim that the coefficient of x4 is different from zero. (Round your answers to three decimal places.) t= ____ t critical= ______The first independent variable (Xt2) will be a cubed value of the rate of return on individual companies. Is the inclusion of this variable consistent with the assumptions of the simple linear regression model? Explain your answer b. What is the additional assumption for this time-series model that does not apply to a cross-sectional analysis? c. If you suspected that your dependent variable Y was not stationary, explain the three unit root processes that you could test for. d. What does the letter "t" represent in the model?
- A medical social worker is interested in examining the relationship between patients who receive social support by family members (yes/no) and the patients’ outcome (failure/success). She collected data over a period of a month (N=100). A chi square analysis revealed the following: χ2= 5.65, df = ?, p = .01. 1. Was a chi-square analysis appropriate to analyze these variables? How do you know?"given a simple regression with slope b=3, s (sub y)=8, and s (sub x)= 2, and n=30. Find the standard error of the estimate."131. Calculate the general t statistic if estimate is equal to 3.5, hypothesized value is equal to 3.1 and the standard error is equal to 0.8. 133. One of the following assumptions is not required for unbiasedness of regression parameters? Please help me for theese 2 questions. Thank you in advance!