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New Tab xVC Chegg Study , xo is calledsual x 7 Y county > STUD x M Take Test: Ox New Tab xD CengageBrox & MindTap -CEx New Tab x New Tab – a ca Secure https: /bbhosted.cuny.edu/webapps/assessment/takeflaunch.jsp?course assessment id: 1037438.1&courseid; =1394 140.1&contentid;=30927474.1&step;=null ::: Apps a Remaining Time: 1 hour25 minutes, 02 seconds. Question completion Status b. deviation O c. residual d. degrees of freedom QUESTION 11 1.5 points Save Answer A sample of n = 4 scores has a standard error of 10 points. For the same population, what is the standard error for a sample of n= 16 scores? b. 2.5 d. 10 QUESTION 12 1.5 points Save Answer What is the difference between simple linear regression and multiple linear regression? a. Simple regression can only evaluate the effect of a factor on one dependent variable, whereas multiple regression can evaluate the effect of a factor on multiple dependent variables o B. Simple regression can only evaluate the effect of one independent variable on a dependent variable, whereas multiple regression can look at the effect of more than one independent variables on a dependent variable. , Simple regression has only one levelwhile multiple regression has several odMultiple regression can look at the relationship between variables that are not linearly related, whereas simple regression can only look at the relationship between variables that have a linear relationship. QUESTION 13 1.5 points Save Answer According to the o a central limit theorem b. Tukey's proposition o C. law of large numbers d. homogeneity of variances the mean of the sampling distribution of the means is equal to the population mean.Explanation / Answer
Q11
If the population standard deviation is , then standard error for a sample of n is /sqrt(n).
Given, standard error for a sample of 4 is 10, = 20 and hence standard error for a sample of 16 is 20/4 = 5 Option c ANSWER
Q12
Simple linear regression is: y = a + bx and
multiple linear regression is: y = b0 + b1.x1 + b2.x2 + ……. + bk.xk where
y = dependent variable, x, x1, x2, ….., xk are independent variable.
Thus, a simple linear regression can only evaluate the effect on the dependent variable y of one independent variable whereas multiple linear regression can evaluate the effect on the dependent variable y of more than one independent variable. Option b ANSWER
Q14
By Law of Large Numbers, expected value of a (sample) statistic is close to the corresponding (population) parameter. With respect to sample mean, this would mean that mean of means of sampling distributions would be close to population mean.
Hence, Option c ANSWER
Q15
A sample is drawn from a population and based on the sample values population values are predicted.
All quantities derived from the population values are called ‘parameters’ and any quantity derived from the sample values is called a ‘statistic’. Hence, Option c ANSWER
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