5 would have to be the constant, because in algebraic terms, a constant is a term that contains only numbers and no variables, which would knock 2x right out of the question. Hope I helped.
The probability of selecting a vowel from the English alphabet is 5/26 (≈19.2%) if you include only A, E, I, O, and U as vowels
Answer:
a) The variable of the study is: milligrams of nitrogen per liter of water.
This is the amount that needs to be measured and analyzed to reach conclusions in the study.
b) The variable is quantitative. The quantitative variables are those that represent quantities. This variables can be measured on a continuous or discrete scale. Then, all the variables that you can measure or count are quantitative variables(height of trees, number of passengers per car, wind speed, milligrams of nitrogen per liter, etc). On the other hand, qualitative variables are those that can’ t be measured, and they represent attributes, like apple colors (red, green), size of trousers (small, medium, large) and so on.
c) The population under study is the milligrams of nitrogen per liter of water that are in the entire lake. You can estimate the parameters of the population by taking samples (In the example, 28 samples are taken).
Answer:
isabella will be able to pay 2 full years of insurance with her remaining savings
Step-by-step explanation:
as we know isabella saved $13,000
the car cost $11,675 - so subtracting that from her total we will know that she has: $1,325 remaining
insurance for a year costs $650,
so we will divide her remaining sum by the yearly cost giving us -
1,325/650
= 2.0.3....
this means that she will be able to pay for 2 full years of insurance with her remaining savings
hope this helped:)
Answer:
a. A residual is how far off a point is from the expected value. For example, if I were to estimate the weight of my Southeastern Lubber Grasshopper, I would say it's maybe 5 ounces. But, in reality, it might be 4 ounces. So, the residual would be the reality minus the prediction, or 4 - 5, or -1 ounce.
b. The regression line is the line of predicted values for the points in the scatterplot. It tries to predict the points and make all the points be on the line.
Hope this helps!
