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Consider a study investigating the relationship between the number of hours studied per week (X) and the resulting grade point average (GPA) (Y) among college students. After collecting data from a sample of 100 students, a researcher calculates the correlation coefficient and plots the data on a scatterplot. Circle the correct answers below for 66-68. 66. The correlation coefficient, denoted as "r," ranges from -1 to +1, where values closer to - 1 or +1 indicate a (stronger/weaker) relationship between two variables. 67. If the correlation coefficient calculated is 0.85, this suggests a (positive/negative) correlation between the number of hours studied and GPA, meaning as one variable increases, the other variable tends to also (increase/decrease). 68. When plotting the data on a scatterplot, each point represents a student's data for the number of hours studied and their corresponding GPA. If the plot shows dots that trend upwards from left to right, this visual pattern supports a (positive/negative) correlation, as observed through the correlation coefficient.

Consider a study investigating the relationship between the number of hours studied per week (X) and the resulting grade point average (GPA) (Y) among college students. After collecting data from a sample of 100 students, a researcher calculates the correlation coefficient and plots the data on a scatterplot. Circle the correct answers below for 66-68. 66. The correlation coefficient, denoted as "r," ranges from -1 to +1, where values closer to - 1 or +1 indicate a (stronger/weaker) relationship between two variables. 67. If the correlation coefficient calculated is 0.85, this suggests a (positive/negative) correlation between the number of hours studied and GPA, meaning as one variable increases, the other variable tends to also (increase/decrease). 68. When plotting the data on a scatterplot, each point represents a student's data for the number of hours studied and their corresponding GPA. If the plot shows dots that trend upwards from left to right, this visual pattern supports a (positive/negative) correlation, as observed through the correlation coefficient.

Ciccarelli: Psychology_5 (5th Edition)
Ciccarelli: Psychology_5 (5th Edition)
5th Edition
ISBN:9780134477961
Author:Saundra K. Ciccarelli, J. Noland White
Publisher:Saundra K. Ciccarelli, J. Noland White
Chapter1: The Science Of Psychology
Section: Chapter Questions
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Explain your answers for 66-68 thoroughly

Consider a study investigating the relationship between the number of hours studied per week (X) and the resulting grade point average (GPA) (Y) among college students. After collecting data from a sample of 100 students, a researcher calculates the correlation coefficient and plots the data on a scatterplot. Circle the correct answers below for 66-68. 66. The correlation coefficient, denoted as "r," ranges from -1 to +1, where values closer to - 1 or +1 indicate a (stronger/weaker) relationship between two variables. 67. If the correlation coefficient calculated is 0.85, this suggests a (positive/negative) correlation between the number of hours studied and GPA, meaning as one variable increases, the other variable tends to also (increase/decrease). 68. When plotting the data on a scatterplot, each point represents a student's data for the number of hours studied and their corresponding GPA. If the plot shows dots that trend upwards from left to right, this visual pattern supports a (positive/negative) correlation, as observed through the correlation coefficient.
Transcribed Image Text:Consider a study investigating the relationship between the number of hours studied per week (X) and the resulting grade point average (GPA) (Y) among college students. After collecting data from a sample of 100 students, a researcher calculates the correlation coefficient and plots the data on a scatterplot. Circle the correct answers below for 66-68. 66. The correlation coefficient, denoted as "r," ranges from -1 to +1, where values closer to - 1 or +1 indicate a (stronger/weaker) relationship between two variables. 67. If the correlation coefficient calculated is 0.85, this suggests a (positive/negative) correlation between the number of hours studied and GPA, meaning as one variable increases, the other variable tends to also (increase/decrease). 68. When plotting the data on a scatterplot, each point represents a student's data for the number of hours studied and their corresponding GPA. If the plot shows dots that trend upwards from left to right, this visual pattern supports a (positive/negative) correlation, as observed through the correlation coefficient.
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