Answer:
f(86)-f(82)
Step-by-step explanation:
well f of 82 = 2 plus _ plus _ plus _ and f of 86 is 2+_+_+_ subtract them
(A) 3 (B) 4 (C) 47 (D) 59 (E) 83
these are some possible answers so the answer is b, 4
btw, 86-82 = 4 duh
We square the residuals when using the least-squares line method to find the line of best fit because we believe that huge negative residuals (i.e., points well below the line) are just as harmful as large positive residuals (i.e., points that are high above the line).
<h3>What do you mean by Residuals?</h3>
We treat both positive and negative disparities equally by squaring the residual values. We cannot discover a single straight line that concurrently minimizes all residuals. The average (squared) residual value is instead minimized.
We might also take the absolute values of the residuals rather than squaring them. Positive disparities are viewed as just as harmful as negative ones under both strategies.
To know more about the Least-Squares Line method, visit:
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The rate of change is gonna be 0
Answer:
3x4 = 12 is the most related fact to 12:3 = 4
Step-by-step explanation:
Categorical data may or may not have some logical order
while the values of a quantitative variable can be ordered and
measured.
Categorical data examples are: race, sex, age group, and
educational level
Quantitative data examples are: heights of players on a
football team; number of cars in each row of a parking lot
a) Colors of phone cover - quantitative
b) Weight of different phones - quantitative
c) Types of dogs - categorical
d) Temperatures in the U.S. cities - quantitative
