Math Problem Statement

Consider the following data from a sample of n=7.

x 178 176 174 166 172 172 174

The y-intercept of the least squares line is -99.2105263157895. Compute the slope of the least squares line and enter the equation of the least squares line below. (As always, if you round, make sure you do so correctly, only round your final answer, and keep at least three decimal places.)

The least squares line is y =

Regardless of what answer you actually got, suppose your regression equation were y= -80 + 0.8x.

For x = 177, the hypothetical line predicts the value of y will be

Solution

Step 1: Use the given equation to calculate the slope.

The least-squares regression line has the general form:

y=a+bxy = a + bx

Where:

  • aa is the y-intercept.
  • bb is the slope of the regression line.

Given that the y-intercept a=99.2105263157895a = -99.2105263157895, we need to compute the slope bb. We will apply the least-squares formula, but only the x-values (x=[178,176,174,166,172,172,174]x = [178, 176, 174, 166, 172, 172, 174]) are provided. To proceed, we need the yy-values or additional details, which are not given in this problem.

Step 2: Predict the value of yy using the hypothetical equation

Next, let's use the hypothetical equation y=80+0.8xy = -80 + 0.8x to predict the value of yy when x=177x = 177.

Substitute x=177x = 177 into the equation:

y=80+0.8×177y = -80 + 0.8 \times 177

Let me calculate that.

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Math Problem Analysis

Mathematical Concepts

Linear Regression
Least Squares
Algebra

Formulas

y = a + bx (equation of a line)
Slope formula: b = Σ((x - x̄)(y - ȳ)) / Σ((x - x̄)^2)

Theorems

Least Squares Regression

Suitable Grade Level

Grades 10-12