unit 3 review questions Flashcards
Which of the following is test assumptions for 1 way ANOVA
All
Null is true, interval level data, clt satisfied, random and independent
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)
Isolating the slope
true
What degrees of freedom are utilized to determine crit f
Calculate F value by df between grops/df within groups
2 and 168
Which of the following can never be the test statistic for a single factor anova HT
Sum of the square… cant have negative answer
- 1.45u
In order to run single factor anova test all the sample variances must be equal or similar in size with each other
false
Which of the following is the factor - drink example
type of drink
What is/are the category/categories
Accounting , marketing and management and other
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
False
Anova compares means not variances
Which of the following is true
A) there is a positive relationship
B) there is a statistically significant relationship
C) both
R tells you.
RTN
Positive correlation
Both
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
Coefficient r is negative (reversed)
Is significant
True
Student is running a single factor anova test. The null and alt hypotheses are correctly setup for the test
false
H1 should not be =/= because it has to be a statement like not all may be equal
In the SLR, point A represents a person who did _ than the model predicted the personw who would
Worse
Point A higher than line but Y variable shows incorrect answers going up
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
true
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
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
Based on table, gender and work hours are good predictor variables while # of units is not. P value compared to alpha. Greater or lesser.
true
Of the choices given, what is the best relationship between the x variables and the y variable
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
When running a slr analysis, student cerated the residual plot to the right. What us wrong with plot
There should be no trend line for residuals cuz they are randomly scattered
The pattern of the residuals suggest the relationship between x and y variable is not linear because
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
The overall model is significant (a = 0.05)
Significant = significance F vs alpha (test RTN of FTRN)
True
Based on coefficient table and collinearity matrix which is the best variable to remove from the model: 1st semester, gpa,, semesters
Get rid of 1st semester because its high p-value in coefficient + low and negative in collinearity matrix (-0.7)
For the above MR model, which is incorrect:
0 - the dummy variable for major is coded correctly
1 - no coded correctly
Not coded correctly must 0 and 1
In a SLR which of the following represents the full model (chance model is 4 questions on quiz)
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
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
Isolating the slope
M = -0.70 → mx → -0.70(3) = -2.1
true
What variable best describes the strength of the relationship in this model regressing 3 predictor variables onto the Y variable of empowerment
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.
J and J sold anti psychotic drug to which two groups
Young kids and elderly
Expect 4-5 questions regarding the articles at simple difficulty. Will be last 4-5 questions at exam
