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3 years ago

Please help me find the value of x I will mark you BRAINLIEST!!!

Mathematics

1 answer:

yan [13]3 years ago

5 0

Answer:

square root of 50 which equals about 7.07

Step-by-step explanation:

PLZ MARK BRAINLIEST

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In a linear regression model, the variable that is being predicted or explained is known as _____________. It is denoted by y an

Andreyy89

Answer:

<h3>"In a linear regression model, the variable that is being predicted or explained is known as <u>_dependent variable</u> It is denoted by y and is often referred to as the response variable".</h3>

Step-by-step explanation:

Given that "In a linear regression model, the variable that is being predicted or explained is known as <u>dependent variable</u> It is denoted by y and is often referred to as the response variable".

Because linear regression models for variables are used to explain or predict the relationship between two variables.
The variable in the given model that is being predicted is called the dependent variable.

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3 years ago

Which statement is used to prove that quadrilateral ABCD is a parallelogram

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I need the questions the answer this question for you. Like the choices

3 0

3 years ago

A large but sparsely populated county has two small hospitals, one at the south end of the county and one at the north end. The

Readme [11.4K]

Answer:

Step-by-step explanation:

Probability distribution of this type is a vicariate distribution because it specifies two random variable X and Y. We represent the probability X takes x and Y takes y by

f(x,y) = P((X=x,Y=y) ,

and given that the random variables are independent the joint pmf isbgiven by:

f(x,y) = fX(x) .fY(y) and this gives the table (see attachment)

(b) the required probability is given by considering X=0,1 and Y =0,1

f(x,y) = sum{(P(X ≤ 1, Y ≤ 1) }

= [0.1 +0.2 ] × [0.1 + 0.3]

= 0.3 × 0.4

= 0.12

Now we find

fX(x) = sum{[f(x.y)]} for y =0, 1 and similarly for fY(y)= sum{[f(x,y)]} for x=0, 1

fX(x) = sum{[f(x,y)]}= 0.1+0.3

= 0.4

fY(y) = sum{[f(x.y)]} = 0.1 + 0.2

= 0.3

Since fY(y) × fX(x) = 0.4 × 0.3

= 0.12

Hence f(x,y) = fX(x) .fY(y), the events are independent

= P(X<=1) . P(Y<=1)

= [sum{[f(x.y]} over Y=0,1] × [sum{[f(x.y)]}, over X= 0, 1

= 0.4 × 0.3

= 0.12

(d) the required event is given by the idea that: either The South has no bed and the North has or the the North has no bed and the South has. Let this event be A

A =sum[(P(X = 1<= x<= 4, Y =0)] + sum[P(X =0 Y= 1 <= x <= 3)]

A = [0.02 + 0.03 + 0.02 + 0.02] + [0.03 + 0.04 + 0.02]

A = [0.09] + [ 0.09]

A = 0.18

Pls note the sum of the vertical column X=2 is 0.3