Descriptive StatisticsNeighborhood'of HouseStdMeanStd ErrorDeviationStatenIslandDunganSelling Price of HouseLiving Space of House inSquare FeetLot Size of Land around48 S468,082.77 S19,665.822 $136,248 811195 292481961 811353.022Hills483785.67242. 8331682.394House in Square FeetPrice per Square Foot of48$483.04$202.362$1.402.007HouseSelling Price of HouseLiving Space of House in30 S522 433 33 S29 744.861 S162,919.312142 659StatenIslandSunnise301907 33781.376Square FeetLot Size of Land around304549 00391.3382143 447House in Square FeetPrice per Square Foot of30$290 30$12.604 S69 0335:55 PMAA 4 sa/2022O 62F Partly sunnyO Type here to search 1. Specifically, you should use the results in the table below for the two neighborhoods to compare the two neighborhoods by testingthe hypothesis that there is no significant difference between the neighborhoods:a. Test the hypothesis at .01 Level of Significance that there is no significant difference in the Average Price of Houses betweenthe neighborhoodsb. Test the hypothesis at .01 Level of Significance that there is no significant difference in the Average Price per Square Foot ofHouses between the neighborhoodsc. Test the hypothesis at .01 Level of Significance that there is no significant difference in the Average Age of Houses between theneighborhoodsd. Test the hypothesis at .01 Level of Significance that there is no significant difference in the Average Lot Size of Houses betweenthe neighborhoodse. Write a report on your results.

Answered: Image /qna-images/answer/3ce7f58e-0ddf-4295-ac6b-b07f2337f5d2.jpg

Answered: 1. Specifically, you should use the…

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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In a cohort study of pesticide exposure and cancer, a group of employees who were exposed to the pesticide and a comparative group who were not exposed were followed up for 30 years at a chemical company. Researchers found that the incidence of cancer among the exposed workers was 55.3 per 1,000. In the comparative group, the incidence of cancer was 15.7 per 1,000. Calculate the: 1. relative risk and the 2. attributable risks of exposure of exposure to pesticides and the development of cancer. Please show you calculations. For the toolbar, press ALT+F10 (PC) or ALT+FN+F10 (Mac). B I U S Paragraph Arial ≡≡ EE X² X₂ CH H+ {} Ⓒ K + V 10pt >¶¶< +₁ ABC ✔ ✓ E A 11 "" Ω V Tx XQ 田く 52 A&A EXE
Provide a detailed interpretation analysis of the regression results below. Pay attention to the main tested variables, model fit characteristics (R 2 ) and number of respondents in the sample. State what is dependent and what are independent variables. Was the hypotheses rejected or confirmed? a) H1: If a woman has a job she will have less children born b) H2: The younger a woman got married the more children she has c) H3: Education positively affects number of children to have
A psychologist would like to examine the effects of different testing methods on the final performance of college students. One group has regular quizzes, one group has three large exams, and the third group only has a final exam. At the end of the course, the psychologist interviews each student to get a measure of the student's overall knowledge of the material. Do these data indicate any significant differences among the three methods? Do the following computations: a. Compute and report the F Ratio at a a = .05 b. Compute and report the Tukey's HSD to determine exactly which methods are significantly different. Quizzes 4 6 3 7 T = 20 SS = 10 Exams 1 4 5 2 T = 12 SS= 10 Final Only 0 2 0 2 T=4 SS=4 G=36 EX² = 164 ✩
Solve the following 1.) The following data were obtained in a study of the relationship between the weight and chest size ofinfants at birth. Weight (lbs) Chest Size (cm) 5.64 29.5 4.41 26.3 9.0 32.2 11.32 36.5 7.08 27.2 8.86 27.7 4.74 28.3 8.82 30.3 7.61 28.7 Ans: a.) r= + 0.77 b.) t = 3.193
Please don't use Exel for solving, I need manual steps
A. Interpret the slope of coefficient . B. Interpret the value of coefficient of determination . c. Using the decision rule based on (-statistic, test at the 10% significatice level whether or not there is a linear relationship between advertising expenditure and sales. In other words, test the following hypotheses: H0 : B1 = 0 (there is no relationship) H1 : B1 ≠ 0 (there is a relationship)
An econometric model is a multiple linear regression model if Question 10Select one: a. it explains the average value of y as a linear function of several explanatory variables b. it explains the sample mean of y as a function, linear in the parameters , of several x c. it explains y as a linear function of several x , the explanatory variables d. it explains the average of y as a function of several x e. none of the answers is correct
Data on the price ($1000s) and the size (1000 ft2 sqaured) for 156 randomly selected houses that have been sold is summarized in the accompanying regression output and plots. Complete parts a and b a) Check the assumptions and conditions for inference. Select all that apply. A. The residuals look random. B. The residuals are nearly normal. C. The scatterplot looks straight enough. D. The residual plot and the scatterplot show consistent variability. E. None of the assumptions and conditions for inference are satisfied.
If you wanted to test, using a 5% significance level, whether a specific slope coefficient is equal to one, then you should Group of answer choices 1. check if the adjusted R2 is close to 1. 2. subtract 1 from the estimated coefficient, divide the difference by the standard error, and check if the resulting ratio is larger than 1.96. 3. add and subtract 1.96 from the slope and check if that interval includes 1. 4. see if the slope coefficient is between 0.95 and 1.05. In a multiple regression framework, the slope coefficient on the regressor X2i Group of answer choices 1. takes into account the scale of the error term. 2. is usually positive. 3. is measured in the units of Yi divided by units of X2i. 4. is larger than the coefficient on X1i.
With Scheffe's S Test, perform the pairwise comparisons of the means and summarize the result of comparisons. Below are the data:
The purpose of this assignment is to apply simple regression techniques to find factors that determine the car values. AS Instructions: 1. Open the dataset of FamilySedans (attached) and read the case entitled “Finding the Best Car Value” in its entirety at the end of Chapter 14. 2. Use descriptive statistics to summarize the data and make comments on them. 3. Use regression analysis to develop an estimated regression equation that could be used to predict the value score given the price of the car. 4. Use regression analysis to develop an estimated regression equation that could be used to predict the value score given the five-year owner costs. 5. Use regression analysis to develop an estimated regression equation that could be used to predict the value score given the road-test score. 6. Use regression analysis to develop an estimated regression equation that could be used to predict the value score given the predicted-reliability. 7. What conclusions can you derive from your…

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