Statistics question

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Wehoerpug

Mathematics

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Attached below is 20 questions for my elementary to statistics please help any way you can as this stuff doesn’t make sense to me. thank you!

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Q14: Which of the following correlations is stronger? A. + 2.56 B. + 0.53 C. - 0.87 Q15: Computing correlations is appropriate when we have A. measurement data B. ratio data C. categorical data D. two of the above are correct Q16: Two variables, X and Y, have a significant linear correlation. Under what conditions can the direction of causality be determined just from knowing the correlation coefficient? A. when the correlation is negative B. when the correlation is positive C. neither a) nor b) are correct D. both A and B are correct Q17: If you conducted a study where you could account for 64% of the variability for one variable with another variable, which of the following correlation coefficients did you find? A. .64 B. .80 C. 4096 D. none of the above are correct The following 3 questions (Q18 to 020) are based upon the scatterplots below: A B Q18: If you were to construct a regression equation using the X variable to predict the Y variable for each of the three sets of data, for which set of data would the regression equation have the most negative slope? Q19: If you were to compute a correlation between the X and Y variables for each of the three sets of data, which set of data would yield a correlation closest to zero? Q20: If you were to construct a regression equation using the X variable to predict the Y variable for each of the three sets of data, for which set of data would the regression equation have the largest, positive slope? The following 12 questions (Q1 to 012) are based on the summarized table below: Hours Studied 1 2 3 5 X2 1 4 9 25 Score on Quiz 3 5 5 9 Y2 9 25 25 81 XY 3 10 15 45 ΣΧ = 11 ΣΥ = 22 EXY =73 ΣΧ2 = 39 ΣΥ2 =140 Q1: What is the predictor variable? Q2: What is the criterion variable? Part A** Compute the Pearson correlation. Steps: Q3: What is the covariance? Q4: What is the standard deviation of the predictor variable? Q5: What is the standard deviation of the criterion variable? Q6: What is the Pearson's r value? Q7: What is the best interpretation of your Pearson correlation in Q6? A. As 'hours studied' goes up there is a corresponding increase in ‘score on quiz' B. As 'hours studied' goes up there is a corresponding decrease in ‘score on quiz' 08: The strength of the above relationship is considered A. weak B. moderate C. strong Part B**Compute the regression equation. Steps: 09: What is the numeric value for the slope? Q10: What is the y-intercept? Q11: What is the regression equation? Q12: Predict the total number of points on the quiz for a person studying 4 hours. Q13: A variable that is being predicted another variable is called a(n) A. predictor variable B. criterion variable C. independent variable D. two of the above are correct Q14: Which of the following correlations is stronger? A. + 2.56 B. + 0.53 C. - 0.87 Q15: Computing correlations is appropriate when we have A. measurement data
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Explanation & Answer

Please, use this attachment. I made some corrections to the solution of Q9 and Q10.Please give me feedback.

Q1: What is the predictor variable?
Answer: The predictor variable is number of Hours Studied.

Q2: What is the criterion variable?
Answer: The criterion variable is Score on Quiz.

Q3: What is the covariance?
Solution:
COV(X, Y) = SXY =
𝑋̅ =

∑ 𝑥 11
=
= 2.75
𝑛
4

∴ SXY =

𝑌̅ =

∑ (𝑋𝑖 − 𝑋̅)(𝑌𝑖 − 𝑌̅)
𝑛−1

∑ 𝑦 22
=
= 5.50
𝑛
4

(1 − 2.75)(3 − 5.50) + (2 − 2.75)(5 − 5.50) + (3 − 2.75)(5 − 5.50) + (5 − 2.75)(9 − 5.50)
n−1

SXY =

(−1.75)(−2.5) + (−0.75)(−0.5) + (0.25)(−0.5) + (2.25)(3.5)
4−1

SXY =

4.375 + 0.375 − 0.125 + 7.875 12.5
=
= 4.1667
3
3

Answer: The covariance is 4.1667
Alternatively:
COV(X, Y) =

∑ 𝑋𝑌 − 𝑌̅ ∑ 𝑋 − 𝑋̅ ∑ 𝑌 + 𝑛𝑋̅𝑌̅ 73 − (5.5)(11) − 2.75(22) + 4(2.75)(5.5) 12.5
=
=
𝑛−1
4−1
3

Answer: The covariance is 4.1667

Q4: What is the standard deviation of the predictor variable?
Solution
The predictor variable is X (i.e. the number of hours studied). The standard deviation is given by:
̅ ∑ 𝑋 + 𝑛𝑋
̅2
∑ (𝑋𝑖 − 𝑋̅)2
∑ 𝑋2 − 2𝑋

𝑆𝑋 = √
=
𝑛−1
𝑛−1
39 − 2(2.75)(11) + 4(2.752 )
8.75
∴ 𝑆𝑋 = √
=√
= 1.7078
4−1
3
Answer: The standard deviation of the predictor variable is 1.7078
Q5: What is the standard deviation of the criterion variable?
Solution
The criterion variable is Y (i.e. Score on Quiz). The standard deviation is given by:
∑ (𝑌𝑖 − 𝑌̅)2
∑ 𝑌2 − 2𝑌̅ ∑ 𝑌 + 𝑛𝑌̅ 2


𝑆𝑌 =
=
𝑛−1
𝑛−1
140 − 2(5.50)(22) + 4(5.502 )
19

∴ 𝑆𝑌 =
= √ = 2.5166
4−1
3
Answer: The standard deviation of the criterion variable is 2.5166
Q6: What is the Pearson’s r value?
Solution
The Pearson’s correlation coefficient, r is given by:
𝑟=

𝑛 ∑ 𝑥𝑦 − ∑ 𝑥 ∑ 𝑦
√[𝑛 ∑ 𝑥 2 − (∑ 𝑥)2 ][𝑛 ∑ 𝑦 2 − (∑ 𝑦)2 ]

Alternatively, r can be computed from the standard deviation as:
𝑟=
∴𝑟=

𝑆𝑋𝑌
𝑆𝑋 ∙ 𝑆𝑌

4.1667
= 0.9695
1.7078 × 2.5166

Answer: The Pearson’s r value is 0.9695

Q7: What is the best interpretation of your Pearson’s correlation in Q6?
Answer:
(A) As ‘hours studied’ goes up, there is a corresponding increase in ‘score on quiz)

Q8: The strength of the above relationship is considered?
Answer: Strong (C)

Part B** Compute the regres...


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