H23456789101112131415161718192021222324252627282930313233343536373839404142TestsA12,4314,0981718134,1414,2835,292731504,5104,2841,3942,2022,0531,5393,3324,2911,7704,5571,420663,8182,1545581,6452,7384,5982,4654,8312,6865564,3631,7751,2958015,6914,9934,3382.259CasesB5007057721ONE WP331,12787076811311,2511,1404602803283065051,14945292448451,0356141692527579406707105231251,285527120154885587964616CDEFGHIJ-KL Question 2: Are the two variables positively correlated or negatively?

The data shows the tests and cases variables.

Answered: Question 2: Are the two variables…

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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A study found that 50 pedestrians gave more money to a street beggar if the beggar had a cute and hungry-looking dog with them compared to if they were alone. The gender of the pedestrians was also noted. Which of the following sentences describes a simple effects analysis on these data? Oa. The difference in donations when the beggar had a dog compared to not Ob. The effect of having a dog compared to not on donations calculated separately for male and female pedestrians Oc. The relative difference between male donations and female donations when the beggar had a dog compared to not Od. Using a graph to do a simple inspection of the mean donations from male and female pedestrians when the beggar had a dog or was alone
Which of the following refers to the scenario in which the relationship between the dependent variable and one independent variable is different at different values of a second independent variable?
Which of the following refers to the scenario in which the relationship between the dependent variable and one independent variable is different at different values of a second independent variable?
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A scientist, who wants to study the effects of precipitation on rice crops, sets up an experiment with 4 groups of rice crops. Rice crop harvest vs. precipitation level Group B Group A 0 150 Group C Precipitation (cm/annually) Harvest (pounds/acre) 0 60 Which statement best describes the relationship between the dependent and independent variables in this study? 20 O The amount of precipitation is dependent on the amount of rice harvest. O The amount of rice harvest is positively correlated with the increase in precipitation. The amount of rice harvest is not affected by the amount of precipitation. The amount of rice harvest is negatively correlated with the increase in precipitation. 200 Group D 40 300
There is a strong correlation between the number of ashtrays in a person's home and their likelihood of having lung cancer. The more ashtrays, the more likely a person in the home is to develop lung cancer. So ... ashtrays cause lung cancer? O No, this is an example of the directionality problem O No, this is an example of both the directionality and the third variable problems O Yes, clearly there is causality here O No, this is an example of the third variable problem
ec5
The following table was generated from the sample data of 10 junior high students regarding the average number of hours they are unsupervised per night, the average number of hours they play video games per night, and their final grades in their math class. The dependent variable is the final grade, the first independent variable (x1) is the number of hours unsupervised each night, and the second independent variable (x2) is the number of hours of video games each night. Coefficients Standard Error t-Stat p-value Intercept 62.711817 4.607133 13.611896 0.000010 Hours Unsupervised 0.635048 0.915495 0.693666 0.513836 Hours Playing Video Games 7.528738 1.296727 5.805955 0.001145 Copy Data Step 1 of 2: Write the multiple regression equation for the computer output given. Round your answers to three decimal places. Answer 田 Tables 国 Keypad How to enter your answer (opens in new window) Keyboard Shortcuts X +
What does a correlation coefficient of 2 indicate? There is a weak relationship between the two quantitative variables. It indicates a calculation error, as the correlation coefficient cannot be 2. There is a strong relationship between the two quantitative variables. It indicates a non-linear relationship between the two quantitative variables. There is no linear relationship between the two quantitative variables.
If my hypothesis assumes that religious women are more satisfied with life than men, would gender be my dependent variable? Religion and satisfaction with life are both independent? Is that correct?
Which below describes an interaction between 2 variables? a. the effect of one independent variable depends on the levels of the second variable b. both variables are equally influenced by a third factor c. the two variables are differentially affected by a third variable d. both variables produce a change in the subjects' scores

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