Problem 18
Question
Use the regression capabilities of a graphing utility or a spreadsheet to find the least squares regression line for the given points. $$ (6,4),(1,2),(3,3),(8,6),(11,8),(13,8) $$
Step-by-Step Solution
Verified Answer
The regression line will be given in the form \(y=a+bx\). The exact values for a and b will depend on the specific calculation made by your chosen graphing utility or spreadsheet software.
1Step 1: Understand the concept
A regression line is a straight line that best fits the data points on a scatter plot. This can be found using the least squares method, which minimizes the sum of the square of the residuals.
2Step 2: Input the data
Input the points into your designated technology, usually in two lists: one for x-coordinates and one for y-coordinates. The given points are $(6,4), (1,2), (3,3), (8,6), (11,8),$ and $(13,8)$.
3Step 3: Perform the regression
Navigate to the statistics function or designated function for regressions and select 'Linear Regression’ or 'Least Squares Regression Line'. Apply this function to your inputted data.
4Step 4: Extract the equation
The regression function will output an equation in the form \(y=a+bx\), where \(a\) is the y-intercept and \(b\) is the slope of the line. This is your least squares regression line.
Other exercises in this chapter
Problem 17
Find the coordinates of the midpoint of the line segment joining the two points. $$ (6,-9,1),(-2,-1,5) $$
View solution Problem 18
Evaluate the double integral. $$ \int_{0}^{1} \int_{y}^{2 y}\left(1+2 x^{2}+2 y^{2}\right) d x d y $$
View solution Problem 18
Use Lagrange multipliers to find the given extremum. In each case, assume that \(x, y\), and \(z\) are positive. Maximize \(f(x, y, z)=x^{2} y^{2} z^{2}\) Const
View solution Problem 18
Examine the function for relative extrema and saddle points. $$ f(x, y)=3 e^{-\left(x^{2}+y^{2}\right)} $$
View solution