C Clever | Log in e Classkick Video Conferencin x di (6) 1st Block- x E Angel Camp - Nev x Newt app.classkick.com/#/account/student-works/AXJV97ATR9W7RP-7SEB7EQ/questions/AXjih8ufR0qGjw2yWd873w O Student Bookmarks A USATestprep, LLC - 88 21. (4/15) Angles formed by Tangents, Secants.. 3/14 - TH Find the measure of the arc or angle indicated. Assume that lines w appear tangent are tangent. SHOW YOUR WORK and circle your fin answer. K 85° of
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- Use log21=0,log22=1, and log24=2 to estimate log23.Explain Estimation and Inference in the Logit and Probit Models2?Imagine you regress earnings of individuals on a constant, a binary variable ("Male") which takes on the value 1 for males and is 0 otherwise, and another binary variable ("Female") which takes on the value 1 for females and is 0 otherwise. Because females typically earn less than males, what would you expect the respective betas to look like? Explain your choice. A) the coefficient will be positive for male and negative for female B) the coefficient will be negative for male and positive for female C) none of the OLS estimators to work because there's perfect multicollinearity D) both the coefficient for male and for female to have positive signs
- Consider a simple model to explain a country’s alcohol related automobiles incidents (totaai) in terms of police police officers (topps): Estimating (a) using quarterly data from 1991-2024 gives: log(totaait) = 12.58 − 0.66 log(topps); (2.22) (0.33) n = 95; R2 = :439; 2. Test the null hypothesis that the coefficient on the log(topps) has no effect on the log(totaait) at the 5% level. 3. Suppose that both total alcohol incidents (totaai) and total police officers (totts) have a positive trend. Given this information, discuss whether the OLS estimates of ˛1 from equation (a) is unbiased (i.e., E(˛ˆ 1) = ˛1)?MARKET CAPITALIZATION is taken as a variable to be predicted, the rest are the predictors Create the following variables in the excel sheet: 1. Change Total Assets to ‘Log(Total Assets)-LogTA, 2. create a new variable called CR (CR= current assets/current liabilities), 3. Create a new variable called DR (DR= Total Debt/Total Asset), 4. Change Market Capitalization to Log(Market Capitalization)-LogMCAP Focus on LogMCAP, LogTA, CR, DR, EBIT, LogMCAP to be predicted, the rest are predictors for the purpose of completing the assignment. 1. Perform a descriptive analysis in R , using the variables given . 2. Design a structure to show the training data, testing data, and discuss the validation process using your dataset. 3. Perform a regression analysis, show the clearly and discuss on the predictive power using the forecast figures and coefficients. 4. You may include scatter plots to address the significance of the predictors, OR extend your analysis by using other statistical…It has been noted that the amount of time people spend shopping in supermarkets has decreased due to the global pandemic. Based on this realization, the manager of Power Supermarket decided to collect data for the length of time people spend in his supermarket during a one week period. He is aiming to use the data to help him decide if the supermarket should be converted to a virtual supermarket/a delivery based one. Before the pandemic Time Frequency 1-5 50 6-10 25 11-15 22 16-20 80 20-25 60 25-30 45 30-35 35 After the pandemic Time Frequency 1-5 30 6-10 65 11-15 45 16-20 50 20-25 35 25-30 40 20-35 35 Use the information above to construct two frequency polygons. Do you think that Power Supermarket should close their doors? Explain your answer. *Assume that a person who spends more time in a supermarket buys a lot of goods and a person who spends a short time in a supermarket,…
- Which of the following is NOT CORRECT? A) The past purchase frequency (freqi) affects the purchase probability positively – i.e., customers with high past purchase frequency are more likely to purchase our product in the next year than those with low past purchase frequency. B) In general, customers are likely to buy our product because the baseline parameter is negative. C) High-income customers are more likely to purchase our product in the next year than low- income customers because the coefficient corresponding to the income variable (incomei) is positive. D) Although the number of flyers (nmaili) positively affects the purchase probability, it is not guaranteed that sending flyers to customers as many as possible maximizes profits.A possible important environmental determinant of lung function in children is the amount of cigarette smoking in the home. Suppose this question is studied by selecting two groups: Group 1 consists of 23 nonsmoking children 5-9 years of age, both of whose parents smoke, who have a mean forced expiratory volume (FEV) of 2.1 L and a standard deviation of 0.7 L; group 2 consists of 20 nonsmoking children of comparable age, neither of whose parents smoke, who have a mean FEV of 2.3 L and a standard deviation of 0.4 L.*8.31 What are the appropriate null and alternative hypotheses to compare the means of the two groups? *8.32 What is the appropriate test procedure for the hypotheses in Problem 8.31? *8.33 Carry out the test in Problem 8.32 using the criticalvalue method. *8.34 Provide a 95% CI for the true mean difference in FEV between 5- to 9-year-old children whose parents smoke and comparable children whose parents do not smoke. *8.35 Assuming this is regarded as a pilot study, how many…A possible important environmental determinant of lung function in children is the amount of cigarette smoking in the home. Suppose this question is studied by selecting two groups: Group 1 consists of 23 nonsmoking children 5−9 years of age, both of whose parents smoke, who have a mean forced expiratory volume (FEV) of 2.1 L and a standard deviation of 0.7 L; group 2 consists of 20 nonsmoking children of comparable age, neither of whose parents smoke, who have a mean FEV of 2.3 L and a standard deviation of 0.4 L. A) What are the appropriate null and alternative hypotheses to compare the means of the two groups? B) What is the appropriate test procedure for the hypotheses in Problem A? C) Carry out the test in Problem B using the criticalvalue method. D) Provide a 95% CI for the true mean difference in FEV between 5- to 9-year-old children whose parents smoke and comparable children whose parents do not smoke.
- A possible important environmental determinant of lung function in children is the amount of cigarette smoking in the home. Suppose this question is studied by selecting two groups: Group 1 consists of 23 nonsmoking children 5−9 years of age, both of whose parents smoke, who have a mean forced expiratory volume (FEV) of 2.1 L and a standard deviation of 0.7 L; group 2 consists of 20 nonsmoking children of comparable age, neither of whose parents smoke, who have a mean FEV of 2.3 L and a standard deviation of 0.4 L.8.31 What are the appropriate null and alternative hypotheses to compare the means of the two groups?8.32 What is the appropriate test procedure for the hypotheses in Problem 8.31?8.33 Carry out the test in Problem 8.32 using the criticalvalue method.8.34 Provide a 95% CI for the true mean difference in FEV between 5- to 9-year-old children whose parents smoke and comparable children whose parents do not smoke.8.35 Assuming this is regarded as a pilot study, how many children…A possible important environmental determinant of lung function in children is the amount of cigarette smoking in the home. Suppose this question is studied by selecting two groups: Group 1 consists of 23 nonsmoking children 5−9 years of age, both of whose parents smoke, who have a mean forced expiratory volume (FEV) of 2.1 L and a standard deviation of 0.7 L; group 2 consists of 20 nonsmoking children of comparable age, neither of whose parents smoke, who have a mean FEV of 2.3 L and a standard deviation of 0.4 L. A) Assuming this is regarded as a pilot study, how many children are needed in each group (assuming equal numbers in each group) to have a 95% chance of detecting a significant difference using a two-sided test with α = .05? B) Answer the question in Problem A if the investigators use a one-sided rather than a two-sided test. Suppose 40 children, both of whose parents smoke, and 50 children, neither of whose parents smoke, are recruited for the study. C) How much power would…A possible important environmental determinant of lung function in children is the amount of cigarette smoking in the home. Suppose this question is studied by selecting two groups: Group 1 consists of 23 nonsmoking children 5−9 years of age, both of whose parents smoke, who have a mean forced expiratory volume (FEV) of 2.1 L and a standard deviation of 0.7 L; group 2 consists of 20 nonsmoking children of comparable age, neither of whose parents smoke, who have a mean FEV of 2.3 L and a standard deviation of 0.4 L. Suppose 40 children, both of whose parents smoke, and50 children, neither of whose parents smoke, are recruitedfor the study.*8.37 How much power would such a study have using atwo-sided test with significance level = .05, assuming thatthe estimates of the population parameters in the pilot studyare correct?*8.38 Answer Problem 8.37 assuming a one-sided ratherthan a two-sided test is used.