A research study is conducted to analyze the relationship between hours spent studying and scores achieved on a standardized test. A sample of 50 students was surveyed. The data collected is summarized in the table below: Hours Studied Test Score 1 60 2 65 3 70 4 80 5 85 6 90 7 95 Using this data set, a linear regression model was created, resulting in the equation of the line: $$y = 5x + 55$$ where $y$ represents the test score and $x$ represents the hours studied. Based on this equation, respectively, which of the following statements regarding the correlation between hours studied and test scores is true?

Exam

GRE

Section

Difficulty

GRE Quantitative Reasoning Section

Correlation Between Study Hours and Test Scores

Very Hard Data Analysis Interpretation Of Data

A research study is conducted to analyze the relationship between hours spent studying and scores achieved on a standardized test. A sample of 50 students was surveyed. The data collected is summarized in the table below:

Hours Studied	Test Score
1	60
2	65
3	70
4	80
5	85
6	90
7	95

Using this data set, a linear regression model was created, resulting in the equation of the line:

$$y = 5x + 55$$

where $y$ represents the test score and $x$ represents the hours studied. Based on this equation, respectively, which of the following statements regarding the correlation between hours studied and test scores is true?

There is a negative correlation between hours studied and test scores.

The correlation suggests that increase in hours studied leads to a decrease in test scores.

The correlation indicates that as hours studied increase, test scores also increase.

There is no correlation between hours studied and test scores.

Hint

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