Observations that result from repeated trials for the same level of the independent variables are called ________.
a)residuals
b)replicates
c)fitted values
d)outliers
b. replicates
Essentially, the same experiment is repeated many times to test the variability associated with the results.
Observations that result from repeated trials for the same level of the independent variables are called...
When assumptions are violated in repeated-measures ANOVA, a non-parametric test called Friedman’s ANOVA can be used in which situations? a. For any repeated-measures ANOVA design. b. When you have only one independent variable. c. When you have two or more independent variables. d. Never for repeated-measures ANOVA.
1.The Breusch-Pagan test for heteroskedasticity A. tests for a relationship between the estimated residuals and the independent variables B. tests for a relationship between the squared estimated residuals and the independent variables C. tests for a relationship between the estimated residuals and the dependent variable D. tests for a relationship between the squared estimated residuals and the dependent variable 2. In the presence of heteroskedasticity hypothesis testing is unreliable (T/F) 3. Plotting the residuals (predicted errors) against the independent variables...
Let X be the number of successes that result from 2n independent trials, when each trial is a success with probability p. Show that P[X=n] is a decreasing function of n.
The multiplication of two variables is used as a predictor if the two variables jointly affect the response. True O False Question 7 1 pts Even if the P-value of the F test in a multiple regression model is nearly zero, it is possible that the R of the model is much less than one. OT False Question 8 1 pts in selecting independent variables for a regression model, neither the forward selection method nor the backward elimination method guarantee...
The claim that two categorical variables are independent means that: A. they're drawn from two independent simple random samples. B. the probability of getting, by chance alone, a value of X2 as large as we did is less than .05. C. they have equal probabilities of occurring if the null hypothesis is true. D. observed and expected values are the same. E. the conditional distributions of all values of one variable are the same.
5.) You can NOT use a regression for which of the following activities? a.) You can in fact use a regression model for all of these b.) Forecasting new observations c.) Identifying unusual data points d.) Measuring the proportion of variability in the outcome variable explained by the predictor variables 6.) A simple regression equation decomposes the observed data into two parts: the fitted values and the residuals. What is the interpretation of a residual? a.) The horizontal distance from...
Given below are four observations collected in a regression study on two variables x (independent variable) and y (dependent variable). *NOOO a. Develop the least squares estimated regression equation. b. At 95% confidence, perform at test and determine whether or not the slope is significantly different from zero. C. Perform an F test to determine whether or not the model is significant. Let a = 0.05. d. Compute the coefficient of determination.
Jason is using the demographic variables of “highest level of educational attainment” (high school graduate, some college, college graduate, graduate school) and “ethnicity” (Asian, African-American, Caucasian, Hispanic, other) to describe survey respondents. Both are examples of _____ variables. A) dichotomous B) categorical C) continuous D) mediating E) dependent 4. Variables that may take on values within a given range, or an infinite set are called _____ variables. A) discrete B) dichotomous C) continuous D) dependent E) mediating In a study...
Fill in the blank. The property which states that for independent trials, as the number of trails increases, the long run relative frequency of an outcome gets closer to the true probability is the called the_________. A) probability Assignment Rile B) Central Limit Theorem C) Law of Averages D) Law of Large Numbers
ONLY NEES A,B help please!!!
1II. (10 pts) You are given the following estimated equation In(wage)- 0.3688+0.0852educ + 0.05 teure-0.000994tenue 0.0908) (0.0069) (0.0068) (0.00025) R-0.3294 526 in which: logtwage) log of average hourly wage; educ is the number of years of schooling tenure is the number of years of tenure fenure tenure remure The plot of the residuals against the fitted values from the regression above, is provided below: 2.5 1.5 Fitted values .5 a. With a 1% significance level,...