What are your explanatory and reponse variables. Using ANOVA table, conclude the regression ANOVA F test listing hypotheses, test statistics, p value, decision, and conclusion. In Fragile Families and Child Wellbeing study, a researcher wants to evaluate whether primary caregiver relationshipto youth and how much time youth lives with primary caregiver coupled with household income would affect numberof days youth absent from school. The following variables are considered: zizaloqui a obnos of enslq sodrum odtime: how much time youth lives with the primary caregiver. (1-less than half of the time, 0-most of the time)te all ofincome: primary caregiver household income (in the unit of thousand dollar)days: number of days youth absent from school.relationship: primary caregiver relationship to the youthRI-dummy 1relationshipBiological fatherBiological motherotherParameter EstimatesRegression analysis output are shown as follows,Analysis of VarianceSourceModelErrorCorrected TotalIntercepttimeincomer1×2The researcher wants to fit a multiple regression model. Assume 5% level of significance.Sum Sq7019712041010DE4159163r2 is the variable under r1Mean Sq17.512.40Estimate Std. Error t value Pr (>|t|)3.8260982.151170 1.7790.0772-2.6769701.056423 -2.5340.0113-0.0042150.005963 -0.7070.48061.0926121.280399 0.8530.39482.2531411.151844 1.956 0.0522.R2-dummy 201510g (101F value1.40Pr (>F)0.2364

It is given that the level of significance is α=0.05. Given information: Regression Analysis…

Answered: What are your explanatory and reponse…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Homeless Population Per State from 2010 to 2020 Source: https://www.usich.gov/homelessness-statistics State 2010 2020 Alabama 6046 3351 Alaska 1832 1949 Arizona 13711 10979 Arkansas 2762 2366 California 123480 161548 Colorado 15482 9846 Connecticut 4316 2905 DC 6539 6380 Delaware 982 1165 Florida 57551 27487 Georgia 19836 10234 Hawaii 5834 6458 Idaho 2346 2315 Illinois 14395 10431 Indiana 6452 5625 Iowa 3014 2647 Kansas 2024 2449 Kentucky 6623 4011 Louisiana 12482 3173 Maine 2379 2097 Maryland 10845 6360 Massachusetts 16646 17975 Michigan 13058 8638 Minnesota 7869 7940 Mississippi 2743 1107 Missouri 8122 6527 Montana 1615 1545 Nebraska 3877 2404 Nevada 11205 6900 New Hampshire 1574 1675 New Jersey 13737 9662 New Mexico 3475 3333 New York 65606 91271 North Carolina 12191 9280 North Dakota 799 541 Ohio 12569 10655 Oklahoma 5229 3932 Oregon 19492 14655 Pennsylvania 14516 13375 Rhode Island 1282 1104 South Carolina 4473 4287 South Dakota 731 1058 Tennessee 10276 7256 Texas 35121 27229 Utah…
Use the following ANOVA table for regression to answer the questions. Response: Y Source DF Sum Sq Mean Sq F-value Pr(>F) Regression 1 10.964 10.964 3.02 0.083 Residual Error 342 1241.460 3.630 Total 343 1252.424 Give the F-statistic and p-value.Enter the exact answers.The F-statistic is Enter your answer; F-statistic .The p-value is Enter your answer; p-value . Choose the conclusion of this test using a 5% significance level. Reject H0. The model is not effective. Do not reject H0. We did not find evidence that the model is not effective. Reject H0. The model is effective. Do not reject H0. We did not find evidence that the model is effective.
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a. Use a = 0.10 to test for a statistically significantly difference between the population means for first- and fourth-round scores. What is the p-value? t-value (to 3 decimals) Degrees of freedom p-value is greater than 0.20 What is your conclusion? There is no significant difference between the mean scores for the first and final rounds. b. What is the point estimate of the difference between the two population means? (to 2 decimals) For which round is the population mean score lower? First round c. What is the margin of error for a 90% confidence interval estimate for the difference between the population means? (to 3 decimals) Could this confidence interval have been used to test the hypothesis in part (a)? Yes Explain. Use the point of the difference between the two population means and add and subtract this MOE. If zero is in the interval the difference is not statistically significant. If zero is not in the interval the difference is statistically significant.
A researcher is studying psychological factors in athletic achievement among teenage boys. One variable she is particularly interested in is determination. What information does a measure of variability for the variable determination convey? Check all that apply. O What is the average value for the variable determination among teenage boys? 7 Do all teenage boys have the same amount of determination? How spread out are the values for determination amoung teenage boys? What is the most common value for the variable determination among teenage boys? Please help I tried my best to solve this problem but I’m still getting it wrong
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