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:
Where:
- is the y-intercept.
- is the slope of the regression line.
Given that the y-intercept , we need to compute the slope . We will apply the least-squares formula, but only the x-values () are provided. To proceed, we need the -values or additional details, which are not given in this problem.
Step 2: Predict the value of using the hypothetical equation
Next, let's use the hypothetical equation to predict the value of when .
Substitute into the equation:
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
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