Suppose a data file from a certain study has information for the following variables:1. Gender- (X1)2. Monthly income in US dollars-(Y)3. Car ownership (own a car/does not own a car)-(X2)4. Age (X3)From such a hypothetical data set, answer the following questions:a) Suggest the null and alternative hypotheses for a global F-test examining the joint significance of coefficients ofthe independent variables in the model E(Y)=B0 + B1X1 +B2X2 +B3X3b) Interpret the parameters B2 and B3 for the model in b) abovec) Suppose a log-linear model is now used to estimate E(log Y) =B0 +B1X1 +B2X2 +B3X3d) Interpret the coefficients B1 and B3 from the model in part d) above

Suppose a data file from a certain study has information for the following varaibles: Gender (x1)…

Answered: Suppose a data file from a certain…

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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UBC coaching center has two branches in Dhaka: one in Dhanmondi (Branch A) and another one in Mohammadpur (Branch B). To understand their students' performance, the coaching center conducts the same test in both branches. A sample of 8 students have been selected from branches A and B respectively, and the following table shows data on their performance. Use appropriate non-parametric methods on the data to find out whether there is a statistically significant correlation between the ranks of the students’ performance of the two branches. Branch A 25 35 45 35 25 40 39 48 Branch B 46 43 64 39 42 41 31 40
Q2) Independent-Samples t-Test (Round calculated results to the hundredth (2nd place to the right of the decimal)) In a research project, researchers collected demographic and health data from a sample of elderly residents in the community. To examine any possible gender differences in their sample, they want to see if the females and the males differ significantly on the education level (number of years of formal schooling). The researchers are not predicting any direction in the possible gender differences so the hypotheses should be non-directional. They would like to run a two-tailed test with α = .10. Male Subject ID Education Female Subject ID Education 1 14 13 14 2 15 14 15 3 17 15 18 4 13 16 18 5 15 17 16 6 15 18 17 7 13 19 16 8 15 20 16 9 15 21 17 10 16 22 15 11 17…
42. When a correlation is sufficiently high, what statistic is used to predict the outcome of the dependent variable from a single independent variable? Stepwise comparison Bivariate regression Coefficient of determination
8. An analyst is comparing data collected from randomly assigned test sub- jects who used two different types of hand cream (designated I and II), each for a period of six months. The subjects used one type of cream on one hand and the second on the other and reported a "softness" factor on a scale of 1 to 10 for each hand. What steps should the analyst take to determine which cream is more effective? (A) Calculate the mean difference between the right-hand results and the left-hand results, then carry out a one-sample z-test. (B) Calculate the difference in means between the right-hand results and the left-hand results, then carry out a two-sample z-test. (C) Calculate the mean difference between the right-hand results and the left-hand results, then carry out a one-sample t-test. (D) Calculate the difference in means between the right-hand results and the left-hand results, then carry out a two-sample t-test. (E) Calculate the individual differences between the Type I and Type II…
The accompanying summary quantities resulted from a study in which x was the number of photocopy machines serviced during a routine service call and y was the total service time (min). n = 17 (y - y)² = 22,218.08(y-y)² = 2615.58 (a) What proportion of observed variation in total service time can be explained by a linear probabilistic relationship between total service time and the number of machines serviced? (Give the answer to three decimal places.) (b) Calculate the value of the estimated standard deviation se. (Give the answer to three decimal places.) What is the number of degrees of freedom associated with this estimate?
The attached results are for a multiple regression study of smartphone addiction (SSA-SV) proneness in relation to 1) Gender 2)Age 3) Anxiety (GAD-7). I just want to clarify that age is statistically significant with p = 0.006; is this correct? What's throwing me off is the notation "< .001" on the top line under the p category. I was under the impression that the p-value would need to be less than 0.001.
A researcher designs an experiment using two drugs, she prepares 15 independent flasks of yeast growth medium and yeast cells. She adds tunicamycin (T) or caffeine (C) to 5 flasks each. Remaining 5 flasks get no drugs (ND). Doubling time of the yeast cells are measured in each flask, data is in the table. Test if mean doubling time is different in Caffeine (C ) when compared to no drug (ND) using an ANOVA method, report an approximate p-value for the level of significance.
QUESTION 4 In general, an experienced quality control inspector of measurement of sheet metal stamping would have a variance of 0.18 (inch)². A new joint inspector measures 101 stampings with variance of 0.165 (inch)². Assume data is normally distributed, by using 95% significance level, test whether the new joint inspector is making satisfactory measurements. QUESTION 5 A marketing study was done on consumer from two age groups for their spending on 20 categories of consumer items. Based on 15 respondents in the 18 – 34 age group, the average spending is RM76.40 with a variance of RM25.30. Meanwhile, based on 18 respondents in the 35+ group, the mean and variance were RM71.20 and RM22.20 respectively. By assuming the population variance are not equal, test if there is any difference in the mean spending between these two populations in 95% significance level.
19
Q1)The following is true, except: a)Data transformations can be used to improve the normality status of your data (e.g. log transformation) b)We need to assess normality prior to doing hypothesis testing, especially when the sample size is small . c)QQ plots gives a very good indication of normality, when the scattered points are on the diagonal line (closer to a straight line), this suggests lack of normality. d)When having significant results of Shapiro-Wilk test, we have sufficient evidence to reject the NULL hypothesis (i.e. normal distribution) in support of the alternative f)The variability of the data should be regarded as noise, and thus ignored
1. A chi-square test was run on the two variables Attitude and Performance. A p-value of 0.035 was noted. State (a) two important properties of the data values found in the columns of the datasheet used (b) the alternative hypothesis (c) the conclusion, which should mention the two variables
24) Below is some of the regression output from a simple regression of the number of wins for a major league baseball team and the size amount of money the team is paying its players (expressed in millions of $'s) *fill in blanks of the table* Based on the regression output, what is the correlation between the two variables? *round to 3 decimal places*

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