Step-by-step explanation:
oh, come on. you can just use common sense.
a local minimum is a point where the curve goes down to, and then turns around and starts to go up again. that point in the middle, where it turns around and does not go down any further, is the minimum.
for the maximum the same thing applies, just in the other direction (the curve goes up and turns around to go back down again).
a)
the local minimum values (y) are
-2, -1
b)
the values of x where it had these minimum values are
-1, +3
Good morning ☕️
______
Answer:
15
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Step-by-step explanation:
f(x) = 5x + 40
then
f(-5) = 5(-5) + 40
= -25 + 40
= 40-25
= 15.
:)
Answer: 50.2 liters
Step-by-step explanation:
11 liters = 50km
Z liters = 228km
To get the value of Z, cross multiply
228 x 11 = Z x 50
2508 = 50z
Divide both sides by 50
2508/50 = 50z/50
50.16 = z
50.16 has two decimal places, so convert to 1 decimal place by approximation
50.16 = 50.2
Thus, 50.2 liters will be enough for 228km
Answer:
I think it is 24 cus it's more bigger and cooler and hotter and shorter and butter
Answer:
(a) <em>Linear regression</em> is used to estimate dependent variable which is continuous by using a independent variable set. <em>Logistic regression</em> we predict the dependent variable which is categorical using a set of independent variables.
(b) Finding the relationship between the Number of doors in the house vs the number of openings. Suppose that the number of door is a dependent variable X and the number of openings is an independent variable Y.
Step-by-step explanation:
(a) Linear regression is used to estimate dependent variable which is continuous by using a independent variable set .whereas In the logistic regression we predict the dependent variable which is categorical using a set of independent variables. Linear regression is regression problem solving method while logistic regression is having use for solving the classification problem.
(b) Example: Finding the relationship between the Number of doors in the house vs the number of openings. Suppose that the number of door is a dependent variable X and the number of openings is an independent variable Y.
If I am to predict that increasing or reducing the X will have an effect on the input variable X or by how much we will make a regression to find the variance that define the relationship or strong relationship status between them. I will run the regression on any computing software and check the stats result to measure the relationship and plots.
