suppose that you run the following model output=a+b training +u1. You calculated the r squared as r2 =0.03 Do you think low R-squared ruins everything for your analysis
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- Calculate the coefficient of alienation. Predict the Y score for someone who obtains an X score of 6. If the prediction is wrong, by how much do you expect it to be wrong?For the situation described below, state the null and alternative hypotheses to be tested. (Enter != for ≠ as needed.)A researcher wishes to show that a modified treatment decreases the mean time to recovery ?, which is currently 7 days.Civil engineers collect data from an area in Canada on the amount of tons of salt used to keep highways in good condition during a snow storm.The amount of salt for n = 30 has(# 1 at image) What can be said with 95% confidence about the maximum error if (# 2 at image) is used as a point estimator of the true population mean of the amount of salt required for a snow storm?
- In the backward elimination process, what happened in the first step? How many steps are in the process? Additional for it is when you perform F-test on the overall model, what will be the decision?A company specializing in building robots that clean your house has found that the average amount of time kids spend cleaning their houses is about 2 hours per week with a margin error of 15 minutes. Which of the following is the correct window of time t (in minutes) we can expect the population of kids to take cleaning their rooms?Data collected by a psychology professor over a four-year period examined the relationship between class attendance and average test grades in introductory psychology. Results revealed that the correlation between the number of classes attended was positively correlated with the students' average test gradeover the course of the semester (r = 0.35). (a) What is the proportionate reduction in error, or r2, for predicting average test grade from the number of classes attended? (b) Explain what this r2 means for this set of data.
- A medical researcher says that less than 80% of adults in a certain country think that healthy children should be required to be vaccinated. In a random sample of 200 adults in that country, 76% think that healthy children should be required to be vaccinated. At α=0.05, is there enough evidence to support the researcher's claim? Complete parts (a) through (e) below. Let p be the population proportion of successes, where a success is an adult in the country who thinks that healthy children should be required to be vaccinated. (a) Find the critical value(s) and identify the rejection region(s). z0=______ (b) Identify the rejection region(s). (c) Find the standardized test statistic z. z=______ (d) Decide whether to reject or fail to reject the null hypothesis and (e) interpret the decision in the context of the original claim.The multiple regression describes how the mean value of y is related to the xi independent variables. The parameters ?i are used to describe how the mean value of y changes for a one-unit increase in xi when the other variables are held constant. The given estimated regression equation follows where x1 is the high-school grade point average, x2 is the SAT mathematics score, and y is the final college grade point average. ŷ = −1.38 + 0.0232x1 + 0.00482x2 If the variable x2 is held constant, then only changes in x1 will impact the predicted values of ŷ. Since the coefficient of x1 is positive, for each one-unit increase of x1, the values of ŷ will increase by the value of ?1, where ?1 = . In context, for each one point increase of the high-school grade point average, the final college grade point average will increase by this amount when the SAT mathematics score does not change. If the variable x1 is held constant, then only changes in x2 will impact the predicted values of ŷ. Since the…After the 8-week program, those who participated in the aquarobic program had their ending cholesterol measured, and the change in cholesterol was recorded for each participant. Estimate the mean cholesterol change using 99% confidence. The formula which should be used for this interval is: ¯yd±tsd√ndy¯d±tsdnd (¯y1−¯y2)±t√s21n1+s22n2(y¯1-y¯2)±ts12n1+s22n2 With % confidence, we estimate that the mean cholesterol before participating in 8 weeks of aquarobics is between mg and mg than the mean cholesterol after participation. Note: Round the limits of your interval to three decimal places. In the last box type the appropriate word - more or less. Think carefully about what positive and negative differences mean about the change in cholesterol based on how the differences were taken. Difference Sample Diff. Std. Error Critical Pt Pre - Post 17.825 1.0492 2.7284 A 99% confidence interval was also calculated for the change in total cholesterol (pre - post) for the…
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