We recorded the pre-statistics course grade (in percent) and introductory statistics course grade (in percent) for 60 community college students.In this data set, no one earned a 90% for the pre-statistics course grade. How could you estimate a student’s introductory statistics course grade if she earned 90% for the pre-statistics course grade? A. Substitute 90 into the regression equation: Predicted introductory statistics course grade = -0.147 + 0.981(90) .B. Substitute the decimal 0.90 into the regression equation: Predicted introductory statistics course grade = -0.147 + 0.981(0.90). The image presents a scatter plot depicting the relationship between grades in a Pre-statistics course and an Introductory Statistics course. ### Description:- **X-axis (Horizontal):** Represents the Pre-statistics Course Grade, measured in percent, ranging from 70 to 95.- **Y-axis (Vertical):** Represents the Introductory Statistics Course Grade, also measured in percent, ranging from 55 to 95.- **Data Points:** Each blue dot corresponds to a student's performance, showing the link between their Pre-statistics and Introductory Statistics grades.- **Trend Line:** A red line of best fit is drawn through the data points, indicating a positive correlation. This suggests that higher grades in the Pre-statistics course are generally associated with higher grades in the Introductory Statistics course.### Analysis:The scatter plot highlights a positive linear relationship between the grades in the two courses, implying that students who perform well in the Pre-statistics course also tend to achieve higher grades in the subsequent Introductory Statistics course. This pattern suggests the potential importance of foundational knowledge for success in more advanced statistical coursework.

Answered: We recorded the pre-statistics course…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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We recorded the pre-statistics course grade (in percent) and introductory statistics course grade (in percent) for 60 community college students.

In this data set, no one earned a 90% for the pre-statistics course grade. How could you estimate a student’s introductory statistics course grade if she earned 90% for the pre-statistics course grade?

A. Substitute 90 into the regression equation: Predicted introductory statistics course grade = -0.147 + 0.981(90) .

B. Substitute the decimal 0.90 into the regression equation: Predicted introductory statistics course grade = -0.147 + 0.981(0.90).

The image presents a scatter plot depicting the relationship between grades in a Pre-statistics course and an Introductory Statistics course.

### Description:

- **X-axis (Horizontal):** Represents the Pre-statistics Course Grade, measured in percent, ranging from 70 to 95.
- **Y-axis (Vertical):** Represents the Introductory Statistics Course Grade, also measured in percent, ranging from 55 to 95.
- **Data Points:** Each blue dot corresponds to a student's performance, showing the link between their Pre-statistics and Introductory Statistics grades.
- **Trend Line:** A red line of best fit is drawn through the data points, indicating a positive correlation. This suggests that higher grades in the Pre-statistics course are generally associated with higher grades in the Introductory Statistics course.

### Analysis:

The scatter plot highlights a positive linear relationship between the grades in the two courses, implying that students who perform well in the Pre-statistics course also tend to achieve higher grades in the subsequent Introductory Statistics course. This pattern suggests the potential importance of foundational knowledge for success in more advanced statistical coursework.

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