Regression Assignment #8 (Spring 2024)
Instructions: Read the following scenario, and then answer the questions that follow (5 points)
Do social media users like things more if other users like them first? A natural field experiment by Egebark and Ekström (2018) explored the microlevel determinants of conformity in social media. They predicted that social media posts that had high levels of positive support (as indicated by the number of likes from prior users) would lead future users to also like the posts. Using the “Number of Original Likes” (X) and the “Number of New Likes” (Y) in the table below, fill in the blank spaces to assess this relationship. (Hint: Complete this chart offline. Then, answer questions 1 through 5). I’ll complete the first 10 calculations for you, but you need to do the rest. Round to two decimal places. Gradeoneessay.com understands the unique challenges faced by nursing students when it comes to research paper writing.
Number of Original Likes (X)
Number of New Likes (Y)
X2
Y2
XY
12
46
144
2116
552
24
72
576
5184
1728
6
35
36
1225
210
6
33
36
1089
198
18
62
324
3844
1116
16
60
256
3600
960
26
85
676
7225
2210
0
12
0
144
0
14
58
196
3364
812
14
54
196
2916
756
2
16
22
66
4
24
20
65
20
63
10
42
10
40
28
95
30
96
30
98
Total
1. Which of the following is correct?
A). The predictor (independent) variable is the Number of Original Likes. The criterion (dependent) variable is Number of New Likes. The researchers are trying to see if the Number of New Likes predicts the Number of Original Likes.
B). The predictor (independent) variable is Number of New Likes. The criterion (dependent) variable is Number of Original Likes. The researchers are trying to see if the Number of Original Likes predicts the Number of New Likes.
C). The predictor (independent) variable is the Number of Original Likes. The criterion (dependent) variable is Number of New Likes. The researchers are trying to see if the Number of Original Likes predicts the Number of New Likes.
D). The predictor (independent) variable is Number of New Likes. The criterion (dependent) variable is the Number of Original Likes. The researchers are trying to see if the Number of New Likes predicts the Number of Original Likes. Our expert writing services are tailored to provide comprehensive support throughout the entire nursing research paper services process. Here's how we can assist you in acing your nursing research papers:
2. What is the correct regression weight (b)? (round to two decimal places here). (1 point)
A). 2.70
B). 1.24
C). 3.68
D). 2.70
E). 14.03
3. What is the correct regression intercept (a)? (round to two decimal places here) (1 point)
A). 2.70
B). 14.03
C). 6.98
D). 12.68
E). 14.03
4. What is the correct regression equation (Y’)? (use two decimal places here) (1 point)
A). Y’ = 14.03X + 12.68
B). Y’ = 2.70X + 14.03
C). Y’ = 3.68X – 12.68
D). Y’ = 2.70X + 14.03
E). X = 1.24Y’ + 6.98
5. Imagine a social media post has 25 original likes. Given your regression equation, how many new likes should the post receive? (For your final answer, round to two decimal places – your answer may differ by a few decimals, so choose the BEST option from those below) (1 point)
A). 338.07
B). 53.47
C). 81.53
D). 79.32
E). 336.04
Regression Assignment #8 (Spring 2024)
Instructions: Read the following scenario, and then answer the questions that follow (5 points)
Do social media users like things more if other users like them first? A natural field experiment by Egebark and Ekström (2018) explored the microlevel determinants of conformity in social media. They predicted that social media posts that had high levels of positive support (as indicated by the number of likes from prior users) would lead future users to also like the posts. Using the “Number of Original Likes” (X) and the “Number of New Likes” (Y) in the table below, fill in the blank spaces to assess this relationship. (Hint: Complete this chart offline. Then, answer questions 1 through 5). I’ll complete the first 10 calculations for you, but you need to do the rest. Round to two decimal places. Gradeoneessay.com understands the unique challenges faced by nursing students when it comes to research paper writing.
Number of Original Likes (X) 
Number of New Likes (Y) 
X2 
Y2 
XY 

12 
46 
144 
2116 
552 

24 
72 
576 
5184 
1728 

6 
35 
36 
1225 
210 

6 
33 
36 
1089 
198 

18 
62 
324 
3844 
1116 

16 
60 
256 
3600 
960 

26 
85 
676 
7225 
2210 

0 
12 
0 
144 
0 

14 
58 
196 
3364 
812 

14 
54 
196 
2916 
756 

2 
16 

22 
66 

4 
24 

20 
65 

20 
63 

10 
42 

10 
40 

28 
95 

30 
96 

30 
98 

Total 
1. Which of the following is correct?
A). The predictor (independent) variable is the Number of Original Likes. The criterion (dependent) variable is Number of New Likes. The researchers are trying to see if the Number of New Likes predicts the Number of Original Likes.
B). The predictor (independent) variable is Number of New Likes. The criterion (dependent) variable is Number of Original Likes. The researchers are trying to see if the Number of Original Likes predicts the Number of New Likes.
C). The predictor (independent) variable is the Number of Original Likes. The criterion (dependent) variable is Number of New Likes. The researchers are trying to see if the Number of Original Likes predicts the Number of New Likes.
D). The predictor (independent) variable is Number of New Likes. The criterion (dependent) variable is the Number of Original Likes. The researchers are trying to see if the Number of New Likes predicts the Number of Original Likes. Our expert writing services are tailored to provide comprehensive support throughout the entire nursing research paper services process. Here's how we can assist you in acing your nursing research papers:
2. What is the correct regression weight ( b)? (round to two decimal places here). (1 point)
B). 1.24
C). 3.68
D). 2.70
E). 14.03
3. What is the correct regression intercept ( a)? (round to two decimal places here) (1 point)
A). 2.70
B). 14.03
C). 6.98
D). 12.68
E). 14.03
4. What is the correct regression equation (Y’)? (use two decimal places here) (1 point)
A). Y’ = 14.03X + 12.68
B). Y’ = 2.70X + 14.03
C). Y’ = 3.68X – 12.68
D). Y’ = 2.70X + 14.03
E). X = 1.24Y’ + 6.98
5. Imagine a social media post has 25 original likes. Given your regression equation, how many new likes should the post receive? (For your final answer, round to two decimal places – your answer may differ by a few decimals, so choose the BEST option from those below) (1 point)
A). 338.07
B). 53.47
C). 81.53
D). 79.32
E). 336.04