Exhibit 12-9
a Regression and Correlation Analysis Resulted in the Following

question 18

Multiple Choice

Exhibit 12-9
A regression and correlation analysis resulted in the following information regarding a dependent variable y) and an independent variable x) .
$\begin{array}{ll}\Sigma \mathrm{X}=90 & \Sigma \mathrm{Y}-{\bar{\mathrm{Y}}) X}-\bar{X}) =466 \\\Sigma \mathrm{Y}=170 & \Sigma \mathrm{Y}-\overline{\mathrm{Y}}) ^{2}=1434 \\\mathrm{n}=10\\\mathrm{SSE}=505.98 & \Sigma \mathrm{X}-\bar{X}) ^{2}=234 \end{array}$

-Refer to Exhibit 12-9. The sample correlation coefficient equals

• A) 0.8045
• B) -0.8045
• C) 0
• D) 1

Identify the periods of Earth's history where significant evolutionary changes occurred.

Understand the relationship between continental drift, plate tectonics, and biodiversity development.

Understand the origins and types of fossil fuels.

Recognize the major factors that contribute to mass extinctions.

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Definitions:

Expected Value

The long-run average value of a random variable over many independent trials.

Simple Linear Regression

A method used in statistics to quantify and analyze the linear relationship between two quantitative variables, specifically one predictor and one response variable.

Confidence Interval

A range of values, derived from sample statistics, that is likely to contain the value of an unknown population parameter, with a certain level of confidence.

Particular Value

A specific, defined value, often in the context of evaluating or testing statistical hypotheses.