A team of researchers wants to investigate a relationship between students' self-esteem (variable X) and psychological resilience (variable Y). They selected a random sample of n = 62 students, and each participant completed a self-esteem and psychological resilience questionnaires. The researchers intent to use a Pearson correlation to test their hypothesis. The partial computation of the students' self-esteem and psychological resilience data produced the following results: SP = 14 Mx = 45 SSx = 15 My = 52 SSy = 60 A. Based on these results, is there a significant correlation between self-esteem and psychological resilience? Use a Pearson correlation test with p < .01, 2-tails to answer this research question. Follow the steps of hypothesis testing and insert your answers below. In your calculations, round all numbers to two decimal places to avoid rounding errors. ANSWER • Ho: • H₁: ● Computed Pearson r = • Critical r-value used for decision about Ho: • Decision about Ho (i.e., reject or fail to reject): • Conclusion (i.e., is there a significant correlation or not? If the correlation is significant, is it positive or negative? Make sure to follow the APA reporting format in your conclusion to avoid losing any points, see examples on the lecture slides.) B. Find the regression equation for predicting students' psychological resilience (i.e., variable Y) from their self-esteem (variable X). In your answer, show all computational steps.

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.2: The Least Square Line
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A team of researchers wants to investigate a relationship between students' self-esteem (variable X) and
psychological resilience (variable Y). They selected a random sample of n = 62 students, and each participant
completed a self-esteem and psychological resilience questionnaires. The researchers intent to use a Pearson
correlation to test their hypothesis.
The partial computation of the students' self-esteem and psychological resilience data produced the following results:
SP = 14 Mx = 45 SSx
15 My = 52 SSy = 60
=
A. Based on these results, is there a significant correlation between self-esteem and
psychological resilience? Use a Pearson correlation test with p < .01, 2-tails to answer this
research question.
Follow the steps of hypothesis testing and insert your answers below. In your calculations, round all numbers to
two decimal places to avoid rounding errors.
ANSWER
• Ho:
• H₁:
• Computed Pearson r =
• Critical r-value used for decision about Ho:
• Decision about Ho (i.e., reject or fail to reject):
• Conclusion (i.e., is there a significant correlation or not? If the correlation is significant, is it positive or
negative? Make sure to follow the APA reporting format in your conclusion to avoid losing any points, see
examples on the lecture slides.)
B. Find the regression equation for predicting students' psychological resilience (i.e., variable Y)
from their self-esteem (variable X). In your answer, show all computational steps.
Transcribed Image Text:A team of researchers wants to investigate a relationship between students' self-esteem (variable X) and psychological resilience (variable Y). They selected a random sample of n = 62 students, and each participant completed a self-esteem and psychological resilience questionnaires. The researchers intent to use a Pearson correlation to test their hypothesis. The partial computation of the students' self-esteem and psychological resilience data produced the following results: SP = 14 Mx = 45 SSx 15 My = 52 SSy = 60 = A. Based on these results, is there a significant correlation between self-esteem and psychological resilience? Use a Pearson correlation test with p < .01, 2-tails to answer this research question. Follow the steps of hypothesis testing and insert your answers below. In your calculations, round all numbers to two decimal places to avoid rounding errors. ANSWER • Ho: • H₁: • Computed Pearson r = • Critical r-value used for decision about Ho: • Decision about Ho (i.e., reject or fail to reject): • Conclusion (i.e., is there a significant correlation or not? If the correlation is significant, is it positive or negative? Make sure to follow the APA reporting format in your conclusion to avoid losing any points, see examples on the lecture slides.) B. Find the regression equation for predicting students' psychological resilience (i.e., variable Y) from their self-esteem (variable X). In your answer, show all computational steps.
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