b. 69 c. 70 . 72 5. Fill in the blank cells of the ANOV A table shown below (you
ID: 2906506 • Letter: B
Question
b. 69 c. 70 . 72 5. Fill in the blank cells of the ANOV A table shown below (you might need a calculator) df 3.125 0.207 9.375 64.833 6,4583 127.89 c 0,001 Erro 19.375 9.125 0.507 Questions 6-7 refer to the table shown in Question 5 6. Referring to the table in question 9, how many independent variables are in this design? a. d. 7. What type of experimental design is this a. Mixed-factor (contains both between and within subjects man b. Between subjects c. Within subjects d. Unknown/Not enough information to say Suppose we were to run a multiple regression on these data and get the following equation: Y" (0.45 x income) + (0.11 x location) +1.3. Here, the "0.45" coefficient refers to 8. a. A weight describing how variability attributable to income that is th location contributes to Y b. A regression weight describing how variability attributable to income that is ocation contributes toY 9. In simple linear regression, we try to draw a line that Minimizes errors between predicted values of a variable and the actual values of that variable Predicts values of a criterion variable using values of a predictor variable Partitions the variability in our data set into different sources a. b. c. CneilExplanation / Answer
5.
We need to fill the values of the ANOVA table. I will make a table with the answers and explain the answers below.
(a): We know that MS is SSQ / df. Thus, SSQ= MS*df.
Thus, SSQ= 3.125*1= 3.125
(b): We know that MS is SSQ / df. Thus, SSQ= MS*df.
Thus, SSQ=64.833*3= 194.499
(c): We know that MS is SSQ / df. Thus, df= SSQ/MS
Thus, df= 19.375/6.4583 ~3
(d): We know that MS is SSQ / df. Thus, df= SSQ/MS
Thus, df= 9.125/0.507 ~18
(e): We know that MS is SSQ / df.
Thus, MS= 9.375/6= 1.5625
(f): F statistic for A (between subjects)= MS(a) / MS(error)
Thus, F statistic= 3.125/1.5625= 2
(g): F statistic for AxB (within subjects)= MS(axb) / MS(error)
Thus, F statistic= 6.4583/0.507= 12.73826
6.
A mixed ANOVA generally compares the differences between groups that have been split on two independent variables, where one variable is a "within-subjects" variable and the other variable is a "between-subjects" variable.
Thus, the required answer is 2.
7.
This is a mixed-factor experimental design. This desgin contains both between and within subjects manipulation.
8.
In a linear regression equation, the coefficients of the variables are the rate of change of y (or the response variable) to a unit change in a variable independent of the changes in the other variables.
Thus, 'b' is the correct option.
9.
In simple linear regression, we try to draw a line that minimizes the error between the predicted values of a variable and the actual values of that variable.
Thus, 'a' is the correct option.
Source SSQ df MS F p A (a)3.125 1 3.125 (f)2 0.207 Error 9.375 6 (e)1.5625 - - B (b)194.499 3 64.833 127.89 <0.001 A x B 19.375 (c)3 6.4583 (g)12.73826 <0.001 Error 9.125 (d)18 0.507 - -Related Questions
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