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- You may need to use the appropriate technology to answer this question. We want to test whether or not the addition of 3 variables to a model will be statistically significant. You are given the following information based on a sample of 25 observations. y = 62.480 1.838x₁ + 25.660x₂ - SSE = 745; SSR = 596 The model was also estimated including the 3 variables. The results are: ŷ ý = 59.220 – 1.766x + 25.635X, + 16.239Xg + 15.296X4 – 18.729x5 SSE = 540; SSR = 801 (a) State the null and alternative hypotheses. O Ho: One or more of the parameters is not equal to zero. H₂: B3 = P4=B5 O Ho: B₁ = B₂= B3 =B4=B5= H₂: One or more of the parameters is not equal to zero. O Ho: One or more of the parameters is not equal to zero. H₂: B₁ = B₂= B3 = P4 = B 5 = 0 ⒸH₁: B3 =B4 = ß5 = 0 H₂: One or more of the parameters is not equal to zero. ✓ (b) Test the null hypothesis at the 5% level of significance. Find the value of the test statistic. (Round your answer to two decimal places.) 5.64 X Find the…Read through this scenario and look at the data that was collected. State the null and all possible research hypotheses. Review the results below (I used SPSS) and answer the questions that follow. Scenario: A researcher wants to see if gender and / or income affects the total amount of help given to a stranger who is sitting on the side of a busy road with a sign asking for help. The independent variables are gender, income, and the interaction of gender and income. The dependent variable is total help. He wants to know if one or both factors – or the interaction of the two - affects the total amount of help offered. Because he is analyzing two independent variables (gender and income), he used a factorial ANOVA. His results show the main effect of each of the independent variables on the dependent variable (total help) and the interaction effect. The researcher is using a 95% confidence interval which means that he wants to be at least 95% sure that his independent variables…Please help me with this homework question
- There are several advantages of using a paired t-test. Since the same subjects are being tested in each of the varying conditions, those subjects serve as their own control. This is a major advantage as you need not consider potential differences between the subjects in the control group and the subjects who are in the experimental group. Elaborate on this concept by providing examples in which you do and do not have the same subjects serving as their own control. There are also potential problems associated with interpreting the results of a paired t-test. Imagine you are interested in determining whether an employee of a company performs better with or without a bonus. What are some issues that could affect the results if you have the same subjects tested in both situations?List one general strength of using nonparametric tests?You are a professor interested in studying the relationship between social media and mental health. You immerse yourself in the literature and read dozens of research articles. After reading the articles it was evident the field claims adolescents with more than 100 social media interactions (post, likes, comments, reactions) will have anxiety. You want to test this claim and decided to carry out a research study. Before you go out to recruit adolescents at a middle school you need to choose an instrument to use in your study that assess anxiety levels. You found two instruments after searching the internet. One instrument, called Form A, cost money to use it and is the gold standard in assessing anxiety levels in adolescent. The other instrument is a free instrument developed by a professor called Form B. You don't want to spend a lot of money buying Form A. If Form A positively correlated with Form B you can justify using Form B in your study. You get a random sample of 10…
- Please submit the answer via a PDF document or Word document. **Independent t-test** Use the following data and scenario to answer the questions. You want to know if someone's exercise status (those who exercise and those who do not exercise) significantly influences energy level. You obtain different participants and put 30 in the "exercise" group and another 30 in the "non-exercise" group. Those in the "exercise" group exercised one hour per day for 2 weeks. Those in the "non-exercise" group refrained from exercising. (In SPSS, code exercise as 1 and non-exercise as 2). After the two weeks you obtained their energy level via a quantitative scale. You hypothesize that exercise status will significantly influence energy level. Use the following data to answer the following questions: 1. Is the study significant? 2. Is p <.05 or p>.05? 3. Do you reject or retain the null hypothesis? 4. What can you conclude about the hypothesis for this study? 5. What is the statistical sentence?…Help please!!one hundred adults who had their Type 1 or Type 2 diabetes were selected to determine if the inhalable version of insulin is able to manage blood sugar 'vels just as swell as injected insulin. The adults uses the inhaler for 3 months and then their blood sugar levels were recorded. Then they uses the injection for 3 months and then their blood sugar levels were also recorded. If we want to test if there is a difference in .average blood sugar levels using the two methods ?Which inference procedure should we use [Hint: test statistics ] None of these .A O Confidence interval about the population mean of the secondgroup .B O t-test about the difference between two means for independent samples CO t-test about the mean difference for paired samples .D O Confidence interval about the population mean of the first group .E O
- A New York Times article titled For Runners, Soft Ground Can Be Hard on the Body considered two perspectives on whether runners should stick to hard surfaces or soft surfaces following an injury. One position supported running on soft surfaces to relieve joints that were in recovery from injury. The second position supported running on hard surfaces since soft surfaces can be uneven, which may make worse those injuries a soft surface was intended to help. Suppose we are given sufficient funds to run an experiment to study this topic. With no studies to support either position, which of the following hypotheses would be appropriate? The first position is more sensible, so this should be a one-sided test. In this case, we should form the alternative hypothesis around the second position. The second position makes the more sense, so this should be a one-sided test. In this case, we should form the alternative hypothesis around the first position. Because we would be interested in any…Beachcomer Ltd is a local car dealership that sells used and new vehicles. The manager of the company wants to know how different variables affect the sales of his vehicles. A random sample of yearly data was taken with the view to testing the model. SALES = a+BAGE + yMIL + SENG Where SALES = amount that a vehicle is sold for (000's), AGE = age of vehicle, MIL= the total mileage of the vehicle at the point of sale and ENG = the size of the engine. The sample of data was processed using MINITAB and the following is an extract of the output obtained: The regression equation is ***** Coef StDev t-ratio p-value Predictor Constant 1.7586 0.2525 6.9648 0.0000 AGE 0.2124 0.3175 * 0.5042 MIL -0.7527 0.3586 -2.0991 ** ENG 4.8124 0.6196 7.7664 0.0000…Explain why a 3 way interaction will have more regression lines than a 2 way interaction.