Answer:
<u>The distance of the library in the map is 0.67 inches (Rounding to two decimal places)</u>
Step-by-step explanation:
1. Let's review all the information given for solving this question:
Scale factor for the map of the town = 0.5 inches: 3 miles
Distance from Niko's house to his school = 3 miles
Distance from Niko's school to the library = 4 miles
2. Let's find the distance of the library in the map
Distance of the library in the map = Distance of the library * Scale factor
Distance of the library in the map = 4 miles * 0.5 inches:3 miles
Distance of the library in the map = (2 miles * inches)/3 miles
Distance of the library in the map = 2 inches/3 (Miles are cancelled in the numerator and in the denominator)
<u>Distance of the library in the map = 0.67 inches (Rounding to two decimal places)</u>
Answer:I can’t see the rest.
Step-by-step explanation:
Answer:
Each gallon of primer will cover a maximum of 200 square feet
Step-by-step explanation:
The x-axis of the graph is the area to paint in square feet. The y-axis of the graph is the number of gallons of primer needed.
We can see that 1 gallon of primer covers from 0 to 200 feet; 2 gallons of primer covers from 200 to 400 feet; etc.
This tells us that each gallon of primer covers a maximum of 200 square feet.
Answer:
three angles of a polygon are each 105.5,the sum of the angles in the polygon is 2520. find each of the other angles if they are equal to each other. For a polygon with n sides and n angles, the sum of the measures of all the interior angles equals (n-2)180 degrees. 16-3=13
Answer:
Solution-
We know that,
Residual value = Given value - Predicted value
The table for residual values is shown below,
Plotting a graph, by taking the residual values on ordinate and values of given x on abscissa, a random pattern is obtained where the points are evenly distributed about x-axis.
We know that,
If the points in a residual plot are randomly dispersed around the horizontal or x-axis, a linear regression model is appropriate for the data. Otherwise, a non-linear model is more appropriate.
As, in this case the points are distributed randomly around x-axis, so the residual plot show that the line of regression is best fit for the data set.
Hope this helps!
Step-by-step explanation:
