Fisher's exact test can be used as a quick test for correlation between two variables X...
Fisher's exact test can be used as a quick test for correlation between two variables X and Y, each of which has at least an ordinal scale of measurement. Divide the scatterplot of the N values of (X,Y) with a vertical line at the median of X, and a horizontal line at the median of Y, and count the number of observations in each of the four quadrants. Note that the row and column totals are N/2, and are not random.
Suppose that 16 observations of X = age of marriage of a husband, and Y = age of marriage of his father, resulted in 7 pairs where both ages were above the median. Are the two variables positively correlated?
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Fisher's exact test can be used as a quick test for correlation
between two variables X...
a)If there is a strong correlation between two variables X and Y, can it be said...
a)If there is a strong correlation between two variables X and Y, can it be said that X causes Y or that Y causes X? Why or why not? b)Discuss what is meant by the term robust and how this concept relates to power.
Question 1 1 pts The equation of the regression line between two variables x (independent variable)...
Question 1 1 pts The equation of the regression line between two variables x (independent variable) and y (dependent variable) is given by ý = -3x -- 2; and the correlation coefficient iss =-.95. The possible x- values range from 1 to 10. Based on the given r, which of the following conclusions may be made? X and Y are very weakly correlated. and y are moderately correlated, and y tends to increase as x is increased. X and y...
The equation of the regression line between two variables x (independent variable) and y (dependent variable)...
The equation of the regression line between two variables x (independent variable) and y (dependent variable) is given by y-hat = -3x + 2; and the correlation coefficient is r = -.95. The possible x-values range from 1 to 10. Which of the following statements are correct? I. The variable y is strongly positive correlated to the variable x. II. The variable y is strongly negative correlated to the variable x. III. If x = 5, one would predict that...
ou are testing the null hypothesis that there is no relationship between two variables, X and...
ou are testing the null hypothesis that there is no relationship between two variables, X and Y. From your sample of you n=20 determine that SSR= 80 and SSE=20. What is the value of FSTAT? At the a= 0.05level of significance, what is the critical value? Compute the correlation coefficient by first computing r^2 and assuming the b1 is negative. r^2= r= Find the test statistic tSTAT= Determine the critical values of t. The lower critical value is The upper...
1. In the regression equation, the value that gives the amount by which Y changes for...
1. In the regression equation, the value that gives the amount by which Y changes for one unit in X is called the (a) coefficient of correlation. (b) coefficient of determination. (c) slope. (d) intercept. 2. For any two categorical variables, X and Y, the best way to determine if they are related is to (a) calculate the correlation between X and Y. (b) draw a scatterplot of the X and Y values. (c) make a two-way table of the...
TEST 1: ANSWERS INTS EACH). This section takes around 5 minutes. Name Spring 2019 8) A researcher wants to determine whether female teachers give higher or lower grades, on average, then male t...
TEST 1: ANSWERS INTS EACH). This section takes around 5 minutes. Name Spring 2019 8) A researcher wants to determine whether female teachers give higher or lower grades, on average, then male teachers. She picks a random sample by picking a random sample of schools, in the schools picked, picking a random sample of departments, and in the departments picked, picking a random sample of teachers. What kind of sampling was performed? d) voluntary response e) cluster b) stratified Random...
1. For each of the following regression models, write down the X matrix and 3 vector....
1. For each of the following regression models, write down the X matrix and 3 vector. Assume in both cases that there are four observations (a) Y BoB1X1 + B2X1X2 (b) log Y Bo B1XiB2X2+ 2. For each of the following regression models, write down the X matrix and vector. Assume in both cases that there are five observations. (a) YB1XB2X2+BXE (b) VYBoB, X,a +2 log10 X2+E regression model never reduces R2, why 3. If adding predictor variables to a...
~~~~~~~~~~~~TO BE COMPLETED USING RSTUDIO~~~~~~~~~~~~~~ ~~~~~~~~~~~~(Please display all RCode used)~~~~~~~~~~~~~~ Regression Is there a relationship between...
~~~~~~~~~~~~TO BE COMPLETED USING RSTUDIO~~~~~~~~~~~~~~ ~~~~~~~~~~~~(Please display all RCode used)~~~~~~~~~~~~~~ Regression Is there a relationship between the number of stories a building has and its height? Some statisticians compiled data on a set of n = 60 buildings reported in the World Almanac. You will use the data set to decide whether height (in feet) can be predicted from the number of stories. (a) Load the data from buildings.txt. (Note that this is a text file, so use the appropriate...
Question 1 1 pts The equation of the regression line between two variables x (independent variable) and y (dependent variable) is given by ý = -3x -- 2; and the correlation coefficient iss =-.95. The possible x- values range from 1 to 10. Based on the given r, which of the following conclusions may be made? X and Y are very weakly correlated. and y are moderately correlated, and y tends to increase as x is increased. X and y...
TEST 1: ANSWERS INTS EACH). This section takes around 5 minutes. Name Spring 2019 8) A researcher wants to determine whether female teachers give higher or lower grades, on average, then male teachers. She picks a random sample by picking a random sample of schools, in the schools picked, picking a random sample of departments, and in the departments picked, picking a random sample of teachers. What kind of sampling was performed? d) voluntary response e) cluster b) stratified Random...
1. For each of the following regression models, write down the X matrix and 3 vector. Assume in both cases that there are four observations (a) Y BoB1X1 + B2X1X2 (b) log Y Bo B1XiB2X2+ 2. For each of the following regression models, write down the X matrix and vector. Assume in both cases that there are five observations. (a) YB1XB2X2+BXE (b) VYBoB, X,a +2 log10 X2+E regression model never reduces R2, why 3. If adding predictor variables to a...
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