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- :"RegressionIt is argued that less time spent on social media will result in improved course marks among ECO242 students. To test whether this is the case you collect data from 20 students on their final marks (Y) and number of facebook posts during the semester (X). You make the following calculations:∑XY=9057,∑X2=2470 ∑X = 190 ∑Y=1164Next, you run the following regression:marks=β^1+β^2facebookpostswhere 'marks' is the final mark for the course in percentage points, and 'facebookposts' is the number of facebook posts completed during the course. Question 1 .The value for the slope parameter is? Question 2 The value for the intercept parameter is? Question 3 If the standard error for the intercept parameter estimate is 1.43701, construct a 95% confidence interval for the parameter. Pr( ?. ≤β1≤ ?. . )=95% Question 4 .If the standard error for the slope parameter estimate is 0.129308, construct a 95% confidence interval for the parameter. Pr( ? ≤β2≤ ?. )=95% Questioion 5.Assuming…ata Set 12 “Passive and Active Smoke” in Appendix B includes cotinine levels measured in a group of nonsmokers exposed to tobacco smoke (n = 40, Mean = 60.58 ng>mL, s = 138.08 ng>mL) and a group of nonsmokers not exposed to tobacco smoke (n = 40, Mean = 16.35 ng>mL, s = 62.53 ng>mL). Cotinine is a metabolite of nicotine, meaning that when nicotine is absorbed by the body, cotinine is produced. Use a 0.05 significance level to test the claim that nonsmokers exposed to tobacco smoke have a higher mean cotinine level than nonsmokers not exposed to tobacco smoke. 1. Find the degrees of freedom using the conversative estimate formula. What is it? 2. Find the critical value. What is it? 3. Sketch a normal distribution curve and highlight the region of significance.Germination of a seed commences with the uptake of water and is completed with the appearance of the embryo, in most species radical first, through the surrounding structures. Table 1 gives data regarding germination rates for treated and untreated seeds. (a) (b) Table 1: Germination rates for treated and untreated seeds Germinated Not Germinated 85 120 At 1% significance level, is the germination rate the same for the treated and the untreated seed? (c) Treated Untreated 15 30 State a suitable null and alternative hypotheses for the problem. Test the hypotheses in part (a) by using x² test. Write your conclusion.
- Consider the linear model y=B,+B,x,+B,x,,+B,x+B,+u, You estimate the model y =B,+B,x,+B,x, observations and obtain the OLS residuals . You then estimate the auxiliary regression +u based on 123 31 3" 3i 41 The LM statistic +1 4/ you obtain to test the null hypothesis that H:B,=B,=0 is 20.91. What is the R2 of the auxiliary regression? It is not possible to say O 0.17 O 0.175714 0.177203There is a relationship in the form of Y = 1 / (a * x ^ b) (x ^ b: means x over b).a) Calculating the correlation coefficient and interpreting the degree of relationship?b) Estimating the y value for x = 4.3 and the x value for y = 0.90 by obtaining the regression equationChapter 9: Hypothesis X Chapter 9 Test Chapter 9: Hypothesis X Chapter 9: Hypothesis : XOL 8 /24330/assignments/654472?module_item_id=1905251 Translate A school reports that 83% of its graduates get jobs within one year. You take a random sample of 51 graduates, of whom 38 got a job within one year. Is this enough evidence to show that a significantly smaller percent of graduates get jobs than advertised by the school? (Use a=0.01) 1. For this study, we should use Select an answWer 2. The null and alternative hypotheses would be: Ho:? Select an answer v (please enter a decimal) H: ? Select an answer v (Please enter a decimal) 3. The test statistic (please show your answer to 3 decimal places.) %3D 4. The p-value = (Please show your answer to 4 decimal places.) 5. The p-value is ? v a 6. Based on this, we should Select an answer v the null hypothesis. 7. As such, the final conclusion is that O The sample data suggest that the population proportion is not significantly smaller than 83%…
- 2Employee’s human capital is measured in terms of his/her age, education, tenure, and rank. Number of years an employee worked in the same organization measures the amount of firm-specific human capital that employee possesses. Data of 413 employees’ tenure was analyzed to predict interim leadership role importance in a study reported in Journal of Advanced Management Research (Vol. 9, 2012). The following table shows the data of these employees tenure in the organization: Tenure (in years) 0-1 1-6 6-11 11-20 20-21 No. of employees 48 109 58 75 123 Calculate mean tenure of these 413 employees.A selected, inbred rat strain had a tail measuring an average of 5.4 cm. An inbred, wild caught strain had 6.2 cm long tails. The selected and wild caught strains were crossed producing the F1 and F2 below. Generation Progeny Phenotype F1 20 5.8 cm F2 250 5 to 6.6 cm a) Assume that 4 genes control tail length. What is the average contribution per allele in the F2 generation? b) What proportion of the F2 would have tails 6 cm in length? c) Which of the following best describes the PARENTAL rat strains? AAbbCCDD x aaBBccdd AABBCCDD x aabbccdd AABBccdd x aabbCCDD d) How many offspring (approximately) in the F2 would have 5 cm long tails?
- I did this question already, I would just like some confirmation if my answers are correct. my answers to this problem were: Reject H0 and The test statistic falls within the region.Consider the following population model for household consumption: cons = a + b1 * inc+ b2 * educ+ b3 * hhsize + u where cons is consumption, inc is income, educ is the education level of household head, hhsize is the size of a household. Suppose a researcher estimates the model and gets the predicted value, cons_hat, and then runs a regression of cons_hat on educ, inc, and hhsize. Which of the following choice is correct and please explain why. A) be certain that R^2 = 1 B) be certain that R^2 = 0 C) be certain that R^2 is less than 1 but greater than 0. D) not be certainThe vulnerability of inshore environments to contamination due to urban and industrial expansion in Mombasa is discussed in the paper €œMetals, Petroleum Hydrocarbons and Organo-chlorines in Inshore Sediments and Waters on Mombasa, Kenya€ [Marine Pollution Bulletin (1997) 34: 570€“ 577]. A geochemical and oceanographic survey of the inshore waters of Mombasa, Kenya, was undertaken during the period from September 1995 to January 1996. In the survey, suspended particulate matter and sediment were collected from 48 stations within Mombasa€™s estuarine creeks. The concentrations of major oxides and 13 trace elements were determined for a varying number of cores at each of the stations. In particular, the lead concentrations in suspended particulate matter (mg kg-1 dry weight) were determined at 37 stations. The researchers were interested in determining whether the average lead concentration was greater than 30 mg kg-1 dry weight. The data are given in the following table along with…