Answer:
Step-by-step explanation:
4/40 = 0.1
12/100 = 0.12
3/18 = 1.6666
1/5 = 0.2
9/27 = 0.3333
Answer:
6t^2 + 5
Step-by-step explanation:
i took the test and somehow got it correct:)
Answer:
Step-by-step explanation:
hello,
hope this helps
Answer:
point of horizontal tangent is and point of vertical tangent is
Step-by-step explanation:
For a horizontal tangent it's slope should be zero thus
Thus the ordered pair of becomes (0,6) at this point tangent is horizontal
For a vertical tangent it's slope should be
Again differentiating the given curve we get
Thus the ordered pair of vertical tangent becomes (
Based on the available information, and options in the question, the total change in the gift card balance after 3 weeks is option A. -$17.61
Evaluation in Mathematics is a method that is used to find the value of the expression when the variable is replaced by a given number.
In this case, to find the total change in the gift card balance after 3 weeks, calculate the total amount spent on gourmet coffee during this period.
Given that Sonia purchases a $5.87 gourmet coffee each week the total amount spent on coffee after 3 weeks can be calculated as follows:
Total amount spent = cost per coffee * number of weeks
= $5.87 * 3
= $17.61
Therefore, Sonia will have spent a total of $17.61 on gourmet coffee after 3 weeks, which will be $-17.61 of the top change in the gift card.
Hence, in this case, it is concluded that the correct answer is option A. -$17.61
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Full Options
A. -$17.61
B. $1.96
C. $18.61
D. $8.97
Answer:
$17.61
Step-by-step explanation:
5.87 x 3= $17.61 because it is each week
Answer:
Step-by-step explanation:
(1+m)1+16=17²(1+1=2)=17²
Step-by-step explanation:
(1+m) 1+16=17
(1+16=17
Answer:
11 - 6x - 12 = -13 -2x
- 6x - 1 = -13 - 2x
-4x - 1 = -13
An ordinary Regression model that treats the response Y is (a) True False, (w) True
What is Regression?
A statistical method called regression links a dependent variable to one or more independent (explanatory) variables.
A regression model can demonstrate whether changes in one or more of the explanatory variables are related to changes in the dependent variable.
A) Models for numerical response variable, like ANOVA and linear regression are special cases of GLMs
for these model the following holds
1. Random component has a normal distribution
2. Systematic component α+β₁x₁+β₂x₂+...........βₓxₓ
3. link function = identity (g(µ)=µ)
GLMs can generalise these models with response Y as normally distributed, hence the statement is True
B) With a GLM. Y does not need to have a normal distribution and one can model a function of the mean of Y instead of just the mean itself. but in order to get ML estimates the variance of Y must be small. This small variance of Y is the reason for ML estimator to be the best one. hence the statement is false.
An ordinary Regression model that treats the response Y is (a) True False, (w) True
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