Math Problem Statement

The image contains a problem related to simple linear regression using sampled data. Let's break down what needs to be calculated based on the provided table and fields.

Solution

The image contains a problem related to simple linear regression using sampled data. Let's break down what needs to be calculated based on the provided table and fields:

Table Details

  1. Columns:

    • Time since last eruption (xx, in hours)
    • Eruption height (yy, in meters)
    • The product (xyxy).
  2. You are required to calculate:

    • nn: Sample size (the number of data points).
    • x\sum x: Sum of all xx values.
    • y\sum y: Sum of all yy values.
    • x2\sum x^2: Sum of the squares of all xx values.
    • xy\sum xy: Sum of the products (xyxy).
  3. Regression Details:

    • Sample correlation coefficient (rr).
    • Slope (β1\beta_1).
    • yy-intercept (β0\beta_0).

Would you like me to calculate these values step-by-step based on the data in the table?

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Math Problem Analysis

Mathematical Concepts

Linear Regression
Correlation Coefficient
Statistics

Formulas

Slope (\(\beta_1\)) = \frac{n(\sum xy) - (\sum x)(\sum y)}{n(\sum x^2) - (\sum x)^2}
Intercept (\(\beta_0\)) = \frac{\sum y - \beta_1(\sum x)}{n}
Sample Correlation Coefficient (r) = \frac{n(\sum xy) - (\sum x)(\sum y)}{\sqrt{[n(\sum x^2) - (\sum x)^2][n(\sum y^2) - (\sum y)^2]}}

Theorems

Least Squares Regression
Pearson Correlation Coefficient

Suitable Grade Level

Grades 11-12