Let the total number of sweatshirts sold be S and the total number of baseball caps sold be B Total sales is the total number of sweatshirts sold times $20 plus the total number of baseball caps sold times 10. Equation 1: 20S + 10B = 2860 people bought 6 times as many sweatshirts as caps. Which means the number of sweatshirts sold (S) is 6 times caps sold(B) Equation 2: S = 6B --- substitute S in equation 1 with 6B => 20(6B) + 10B = 2860 => 120B + 10B = 2860 => 130B = 2860 --- divide both side by 130 => B = 2860/130 => B = 22 --- is the number of caps sold. To find the number of sweatshirts sold we use equation 2 S = 6B --- but we know now B = 22 => S = 6(22) => S = 132
therefore 132 sweatshirts sold and 22 baseball caps sold.
As with simple linear regression, we desire the residuals to:
Have constant variance.
Have a mean close to 0.
<h3>What is a simple linear regression?</h3>
It should be noted that a simple linearregression simply means a model that describes the relationship between a dependent variable and an independent variable.
In this case, as with simple linearregression, we desire the residuals to have constant variance and have a mean close to 0.
There will be nights when you get more sleep or less sleep than usual, but overall, they will not be far away from the rest of the data you're comparing.
The distance from the kayak to the mountain to the nearest whole number is 43 meters.
The situation will form a right angle triangle as shown below in the diagram.
<h3>Properties of a right angle triangle:</h3>
One of its angle is 90 degrees.
The sides and angle can be found by using trigonometric ratios.
The height(opposite side) of the triangle is the kayak distance from the mountain to the lake below. The distance from the kayak to the mountain is the adjacent side of the triangle.