A data set contains 10 numerical predictors, 7 categorical variables with 2 levels, and 3 categorical variables with 4 levels. How many candidate models does the “all possible” procedure generate? (please show how to
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A data set contains 10 numerical predictors, 7 categorical variables with 2 levels, and 3 categorical variables with 4 levels. How many candidate models does the “all possible” procedure generate? (please show how to do it)
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- PavanWhich of the following about open-source software is true а. A software that can be easily customized. b. A software that does not cost any money for usage. O c. All of these O d. A software that is freely downloadable and available on the internetreview(7a): The following table summarizes the outcome of a study that researchers carried to determine if females expressed a greater fear of heights than male. How many categorical variables are summarized in the table? Men Women Expressed fear for heights 68 109 did not expressed a fear for heights 94 89
- Depression A study published in the Archives of GeneralPsychiatry examined the impact of depression on apatient’s ability to survive cardiac disease. Researchersidentified 450 people with cardiac disease, evaluatedthem for depression, and followed the group for 4 years.Of the 361 patients with no depression, 67 died. Of the89 patients with minor or major depression, 26 died.Among people who suffer from cardiac disease, aredepressed patients more likely to die than non-depressedones?a) What kind of design was used to collect these data?b) Write appropriate hypotheses.c) Are the assumptions and conditions necessary forinference satisfied?d) Test the hypothesis and state your conclusion.e) Explain in this context what your P-value means.f) If your conclusion is actually incorrect, which type oferror did you commit?A national standard requires that public bridges over 20 feet in length must be inspected and rated every 2 years. The rating scale ranges from 0 (poorest rating) to 9 (highest rating). A group of engineers used a probabilistic model to forecast the inspection ratings of all major bridges in a city. For the year 2020, the engineers forecast that 6% of all major bridges in that city will have ratings of 4 or below. Complete parts a and b. a. Use the forecast to find the probability that in a random sample of 7 major bridges in the city, at least 3 will have an inspection rating of 4 or below in 2020. P(x≥3)=A researcher wants to conduct an experimental study on the effect of learning strategies (cooperative and conventional) and learning interest (low, medium, and high) on learning outcomes. The total number of research samples is 90 students and each cell is 15 students. You determine the research data on the learning outcomes yourself. Interpret the results of the research data analysis.
- Select the correct sentence in the passage. Which sentence best supports the idea that artificial and human translators are comparable? A Computer Can Now Translate Languages as Well as a Human by Vanessa Bates Ramirez (excerpt) In other words, it’s finally happened: computers are smarter than people. In a contest that tested the new software against human translators, it came close to matching the fluency of humans for some languages. People fluent in two languages scored the new system between 64 and 87 percent better than the previous one. Google is already using the new system for Chinese to English translation and plans to completely replace its existing translation technique with the GMNT.Please help asapA study is testing the effectiveness of a new allergy medication. Sixty people who reported they have allergies volunteered to be part of the study and were randomly assigned to one of two groups, as shown in the design web. 30 Receive Medication Randomly Assigned Compare Level of Allerg Symptoms after Severa Weeks 60 Subjects 30 Receive Placebo Which of the following accurately describes the benefit of comparison in the experiment shown in the design web? The level of allergic symptoms in both groups can be compared to see if the new medication had a significant effect. The overall level of allergic symptoms can be used to determine if the new allergy medication had a significant effect. The level of allergic symptoms in the group who received the medication can be used to determine if the medication had a significant effect. The level of allergic symptoms in both groups cannot be compared to determine if the medication had a significant effect because one group only received a…
- Please do not give solution in image format thankuThe personality characteristics of business leaders (e.g., CEOS) are related to the operations of the businesses that they lead (Oreg & Berson, 2018). Traits like openness to experience are related to positive financial outcomes and other traits are related to negative financial outcomes for their businesses. Suppose that a board of directors is interested in evaluating the personality of their leadership. Among a sample of n = 16 managers, the sample mean of the openness to experiences dimension of personality was M = 4.50. Assuming that u = 4.24 and o = 1.05 (Cobb-Clark & Schurer, 2012), use a two-tailed hypothesis test with a = .05 to test the hypothesis that this company's business leaders' openness to experience is different from the population. Standard Normal Distribution Mean - 0.0 Standard Deviation 1.0 .7198 .1401 .1401 -3.0 -2.0 -1.0 0.0 1.0 2.0 3.0 -1.08 1.08 Step 1. Ho: ; H;: a = .05. Step 2. The critical region consists of Step 3. For these data the standard error is and…Can this all be completed with SPSS along with all of the steps as well please? Base on the same given data uploaded in module 4, will you conclude that the number of bathroom of houses is a significant factor for house sellprice? I your answer is affirmative, you need to explain how the number of bathroom influences the house price, using a post hoc procedure. (Please treat number of bathrooms as a categorical variable in this analysis) Base on the same given data, conduct an analysis for the variable sale price to see if sale price is influenced by living area. Summarize your finding including all regular steps (learned in this module) for your method. Also, will you conclude that larger house corresponding to higher price (justify)? Each question need to include a spss output.
