Predictors with α = 0.05 Which predictors do you consider significant? Which predictors would you be comfortable eliminating?
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- Predictors with α = 0.05
Which predictors do you consider significant?
Which predictors would you be comfortable eliminating?
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- Statistics topic: The coefficient of correlation between ages of husbands and wives in a community was found to be 0.8, the average of the husband's age was 25 years and that of wives' age was 22 years. The standard deviations were 4 and 5 respectively. Find with the help of regression equations : (1) The expected age of the husband when wife's age is 18 years, and (ii) The expected age of the wife when husband's age is 32 years.I want to know solutionsDoctors are testing a new antidepressant. A group of patients, all with similar characteristics, take part in the study. Some of the patients receive the new drug, while others receive the traditional drug. During the study, a number of patients complain about insomnia. The data are shown in the contingency table below. What is the relative risk of insomnia for those who receive the new drug? Round to two decimal places. New drug Total Insomnia No insomnia Total Traditional drug 36 Provide your answer below: 52 88 226 295 521 278 331 609
- [Statistics] Use R or RStudio Context of the problem:Fire damage in the United States amounts to billions of dollars, much of it insured. The time taken to arrive at the fire is critical. This raises the question, Should insurance companies lower premiums if the home to be insured is close to a fire station? To help make a decision, a study was undertaken wherein a number of fires were investigated. The distance to the nearest fire station (in miles) and the percentage of fire damage were recorded. Here is the data set: Distance Percent7.5 688.3 666.2 341.6 305.6 706 624.3 478.1 725.7 400.3 531.6 182.5 485.8 535.3 486.3 643.4 526.2 613.2 346.3 656.1 664.6 336.7 760.5 343.2 465.3 555 334.8 466.4 490.2 174.9 476.2 637.6 696.6 542.9 522.1 434.8 358.1 581.2 54.6 464 576.1 400.8 395.9 426.5 626.5 527.5 767.2 676.7 454.1 234 334.8 594…Aspirin III: Decision and Conclusion Regarding the experiment in the data frame Aspirin from the abd package, the researchers wanted to know whether or not taking aspirin affects one's risk of developing cancer. Recall that they defined their parameters as follows: p1 = the proportion of ALL individuals who would develop cancer, if all of them were to take aspirin like the subjects in the Aspirin group did. p2 = the proportion of ALL individuals who would develop cancer, if all of them were to take a placebo, like the subjects in the placebo group did. They ran the code for a two-sided significance test and got the following results: ## ## ## Inferential Procedures for the Difference of Two Proportions p1-p2:## cancer grouped by treatment ## ## ## Descriptive Results:## ## yes n estimated.prop## Aspirin 1438 19934 0.07214## Placebo 1427 19942 0.07156## ## ## Inferential Results:## ## Estimate of p1-p2: 0.0005805 ## SE(p1.hat - p2.hat): 0.002586 ## ##…M5
- carefully weigh the data before casting your vote. As you review the data, you ask yourself, Assuming both teams handled roughly the same number of customers, which chart impresses me more? Which team is the most consistent? Which team, over time, has better average scores? Growing scores? Declining scores? What does the Descriptive Statistics ToolPak tell me about the data? Which team is showing improvement? Can I estimate (or visually predict using the best fit line) which team will have better future performance? If so, which team? How do I know? …and, for whom should I vote?I need help with part 4 and 5. Part 5. (e)State a conclusion. Use the a= 0.10 level of significance. There is/ is not enough evidence to conclude that the mean FEV1 in the high-pollution community is less/more than 2.1 liters.We calculate the ____ ___ equation when we want to measure the exact percentage of the variability in the outcome that was explained by the independent variable.
- A study wants to see if a program aimed at increasing reading accuracy works for elementary school students. They have a group of 20 participants. All 20 get measured at the beginning of the study, and measured again at the completion of the reading program. This is an example of a: Within subjects study Between subjects study A correlation study A mixed design study The main difference between an ANOVA and a t-test is: Group of answer choices An ANOVA can look at more than 2, and t-test looks at only 2 means at a time An ANOVA looks at only 2 means at a time, and t-test can look at more than 2 A t-test can have nominal dependent variables An ANOVA can have a nominal dependent variableotected View - Saved to this PC Search View Help 12. The city council is considering a law that would ban smoking in all public facilities. A sample has been selected from the community and tested for of the ordinance. Is there a statistically significant relationship between age and support for the anti-smoking law? Use the five step model as a guide and write a sentence or two interpreting your results. support Age More than 40 Less than 40 Support: For 145 78 223 Against 103 248 169 247 272 495 A. Use probabilities to determine if these two variable are independent or dependent P (Less than 40) 3D P(Less than 40 | For)= P(Less than 40| Against) = Are age and support for the anti-smoking law independent? (Yes independent/No = not independent) B. Conduct a hypothesis test using an alpha of .05 that these variables are icic X Quizzes - Social Statistics - Tenne X B Feedback for Informative/Persua X Which S tps://elearn.tnstate.edu/d2l/Ims/quizzing/user/attempt/quiz_start_frame_auto.d2l?ou= Exam 1 Andrew Kosia: Attempt 1 Question 12 (2 points) . Social class is an example of a(n) variable. sample data O ordinal O population 45 Question 13 (2 points) Saved 48 Which of the following are dichotomous variables? gender color oyment hp