unit 3 review questions

Question 1

Which of the following is test assumptions for 1 way ANOVA

Answer 1

All
Null is true, interval level data, clt satisfied, random and independent

Question 2

2 tables out of MLR. marketing majors stress level regarding landing the right career job is nearly 7 while all othe majors sters level is about 6 (coefficent, standard error, t stat, p value)

Answer 2

Isolating the slope
true

Question 3

What degrees of freedom are utilized to determine crit f

Answer 3

Calculate F value by df between grops/df within groups
2 and 168

Question 4

Which of the following can never be the test statistic for a single factor anova HT

Answer 4

Sum of the square… cant have negative answer
- 1.45u

Question 5

In order to run single factor anova test all the sample variances must be equal or similar in size with each other

Answer 5

false

Question 6

Which of the following is the factor - drink example

Answer 6

type of drink

Question 7

What is/are the category/categories

Answer 7

Accounting , marketing and management and other

Question 8

Step 6 of anova analysis compare the variance noting marketing students value is the highest that is the correct comparison to make in analyzing the anova results. Student saw variance for marketing is largest

Answer 8

False
Anova compares means not variances

Question 9

Which of the following is true
A) there is a positive relationship
B) there is a statistically significant relationship
C) both

Answer 9

R tells you.
RTN
Positive correlation
Both

Question 10

X - GPA
Y - Networking confidence
Students with higher GPA value education than students with lower GPAs who focus on networking
The data supports the above interpretation

Answer 10

Coefficient r is negative (reversed)
Is significant
True

Question 11

Student is running a single factor anova test. The null and alt hypotheses are correctly setup for the test

Answer 11

false
H1 should not be =/= because it has to be a statement like not all may be equal

Question 12

In the SLR, point A represents a person who did _ than the model predicted the personw who would

Answer 12

Worse
Point A higher than line but Y variable shows incorrect answers going up

Question 13

When running a SLR analysis, what is the primary purpose of creating a residual plot is a visual check that the XY relationship is linear

Answer 13

true

Question 14

The stat supports the above statement or does not: MLR: student wrote men have higher self esteem than females. This tells us females feel less empowered just cuz they are females

Answer 14

Gender coefficients is positive. Female is 1 so 1 x coefficient. Male is 0 x coefficient so 0. Less empowered males
Data does not support because females are more empowered

Question 15

Based on table, gender and work hours are good predictor variables while # of units is not. P value compared to alpha. Greater or lesser.

Answer 15

true

Question 16

Of the choices given, what is the best relationship between the x variables and the y variable

Answer 16

Multiple R and R square and significance F
Multiple R 0.251 is weak (closer to 0 than 1)
Significance is significant compared to alpha
Weak and significant

Question 17

When running a slr analysis, student cerated the residual plot to the right. What us wrong with plot

Answer 17

There should be no trend line for residuals cuz they are randomly scattered

Question 18

The pattern of the residuals suggest the relationship between x and y variable is not linear because

Answer 18

A - all the residuals are negative
B - the residuals are not andomly scattered
C - both
Answer: both! Some should be positive and negative and must be scattered not patterned

Question 19

The overall model is significant (a = 0.05)

Answer 19

Significant = significance F vs alpha (test RTN of FTRN)
True

Question 20

Based on coefficient table and collinearity matrix which is the best variable to remove from the model: 1st semester, gpa,, semesters

Answer 20

Get rid of 1st semester because its high p-value in coefficient + low and negative in collinearity matrix (-0.7)

Question 21

For the above MR model, which is incorrect:

0 - the dummy variable for major is coded correctly
1 - no coded correctly

Answer 21

Not coded correctly must 0 and 1

Question 22

In a SLR which of the following represents the full model (chance model is 4 questions on quiz)

Answer 22

C
The line going up diagonally from left to right
(ON QUIZ) A is above C and represents residual/actual and B represents regression. D represents chance

Question 23

The slr model shows if a student completes 3 additional training modules they can expect to have about 2 less wrong answers on practice exam

Answer 23

Isolating the slope
M = -0.70 → mx → -0.70(3) = -2.1
true

Question 24

What variable best describes the strength of the relationship in this model regressing 3 predictor variables onto the Y variable of empowerment

Answer 24

Adjusted RSQ
We need 40…10 for predictor and 10 for Y so total should be 40 but we only have 36 observations. General rule is not met.

Question 25

J and J sold anti psychotic drug to which two groups

Answer 25

Young kids and elderly
Expect 4-5 questions regarding the articles at simple difficulty. Will be last 4-5 questions at exam