How do I explain why this is a good outcome?
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How do I explain why this is a good outcome?
Multiple linear regression model:
A multiple linear regression model is given as y = b0 + b1x1 + b2x2 + …+ bkxk where y is the predicted value of response variable, and x1, x2,…, xk are the k predictor variables. The quantities b1, b2,…, bk are the estimated slopes corresponding to x1, x2,…, xk respectively and b0 is the estimated intercept of the line, from the sample data.
A multiple regression equation describes the combined effect of all the predictors in the model. Even when the effect of a particular predictor is being studied from a multiple regression equation, it assumes that the effects of all the other predictors are accounted for.
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- Working at home: According to the U.S. Census Bureau, 32% of men who worked at home were college graduates. In a sample of 519 women who worked at home, 165 were college graduates. Answer the following.You have a large vegetable garden that has beefsteak tomato plants. Bees account for close to 80% of pollination of fruits, vegetables, and seed crops. You want more bees to visit your garden because more pollination means more tomatoes. Research has shown that bees prefer flowers that are either yellow, white, or blue; however, they are not attracted to red flowers because they see red as an absence of color. You are curious to see if this is true. In your garden, you separate two environmentally similar spaces for your beefsteak tomato plants. In one of the areas, you add yellow flowers around the tomato plants; in the other area you add red flowers. A random sample of 15 tomato plants surrounded by yellow flowers was taken and the mean tomato yield weight was 12.4 pounds per plant with a standard deviation of 2.7. Another random sample of 16 tomato plants that were surrounded by red flowers showed a mean tomato yield weight of 11.5 pounds per plant with a standard deviation of 2.1.…Infanticide - an ove... Twin Pairs Associates Degree J... Dr. Mindfog, is a drug researcher interested in investigating the mind-altering effects of two very potent drugs, scotch and tequila. Specifically, Dr. Mindfog wonders, "Is there a difference between the two drugs in their mind-altering effects?" Wishing to minimize and effects due to physical differences in groups of subjects, he selects ten adult twin pairs to participate in his study (five mail twin pairs and five female twin pairs, obviously matched). One member of each twin pair is randomly assigned to one of two groups, such that one member of a twin pair is in the "scotch" group and the other member of the twin pair is in the "tequila" group. Then, using the famous Olson Mind Dazedness Test (OMDT) he measures each participant's dazedness after self- administering three ounces of the drug within an hour's time. Below are the dazedness scores of Dr. Mindfog's experiment -- the higher the score, the more dazed the…
- A health scientist is testing the effectiveness of three different diets (Diet A, Diet B, and Diet C). To determine diet effectiveness, a group of 72 participants were weighed and then randomly assigned to adhere to one of the three diets for a month (N = 24 for each group). At the end of the month, each participant was weighed again and the amount of weight lost was calculated in kilograms (kg). Using the variables “Diet” and “Weight Loss kg”, conduct a One-Way, Between Subjects, ANOVA, at α = 0.05, AND conduct Tukey's Post Hoc testing to find out which of the three diets was most effective. Identify the correct written form of the null hypothesis A. The mean amount of weight loss between the three types of diets are equal B. The mean amount of weight loss between the three types of diets are NOT equal C. The mean amount of dieting between the three weight loss groups are equal D. The mean amount of dieting between the three weight loss groups are NOT equalYou are concerned that nausea may be a side effect of Tamiflu, but you cannot just give Tamiflu to patients with the flu and say that nausea is a side effect if people become nauseous. However, past research indicates that about 30% of people who get the flu experience nausea, and you believe that the percentage of those who experience nausea while having the flu and taking Tamiflu will be greater than 30%, which would indicate that nausea is a side effect of Tamiflu.If you are going to test this claim at the 0.05 significance level, what would be your null and alternative hypotheses? H0: ? p = p ≠ p < p > p ≤ p ≥ μ = μ ≠ μ < μ > μ ≤ μ ≥ H1: ? p = p ≠ p < p > p ≤ p ≥ μ = μ ≠ μ < μ > μ ≤ μ ≥ What type of hypothesis test should you conduct (left-, right-, or two-tailed)? left-tailed right-tailed two-tailedWhat is Windows Server-Client networking model? What is Peer-to-Peer networking model? What are the differences? Pros/Cons of each? What are some of the scenarios where one of them is applicable but not the other?
- Determine whether the results appear to have statistical significance, and also determine whether the results appear to have practical significance. One of a botanist's hybridization experiments with peas yielded 500 offspring with 130 of those peas (or 26%) have yellow pods. According to genetic theory, 25% of the offspring peas should have yellow pods. Does the result have statistical significance? According to genetic theory, ( ) of the 500 peas would have yellow pods. The difference between the actual number of peas with yellow pods and the expected number of peas with yellow pods is ( ) pea(s). This difference (does or does not appear?) to be statistically significant. (Type whole numbers.) Part 2 Does the result have practical significance? This difference (does or does not appear)? to have practical significance, because the difference between the actual number of peas with yellow pods and the expected number of peas with yellow pods is (very…How do you do this problem?ruggling is normal and part of the process of learning. Describe an instance, so far in this course, where you struggled with a problem or concept, and initially had the wrong idea, but then later realized your error. In this instance, in what ways was a struggle or mistake valuable to your eventual understanding? You might also discuss whether struggling built aspects of character in you (e.g., endurance, self-confidence, competence to solve new problems) and how these virtues might benefit you in later ventures. Explain in a few sentences.
- A researcher's survey results indicate that about 50% of 12th graders consume less than 300g of vegetables at lunch, about 40% consume 300-600g, and only 10% of them consume more than 600g. A high school conducted a survey of student diets and health information, and reported data about 12th graders' vegetable intake at lunch is reported in the table photo. If researchers wants to find out whether the high school has the same proportions of 12th graders in the vegetable intake categories as reported by the survey, what would the appropiate test statistic be to use and why. Choosing between an ANOVA, Chi -Square independence tests, Chi Square Goodness of Fit, and One sample proportion test?how do I do this problem? Please answer all part of the question and show all work and steps so I am able to easily understand it.how do i solve this question?