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Svet_ta [14]
2 years ago
3

Suppose we calculate the least-squares regression lines for two sets of paired data. The first set has a regression line with sl

ope m1 and correlation coefficient r1, while the second set has a regression line with slope m2 and correlation coefficient r2. If r1 < 0 < r2, we can correctly conclude that
A) m1 < 0 < m2
B) r1^2 < 0 < r2^2
C) the first set displays stronger correlation than the second.
D) the second set displays stronger correlation than the first.
Mathematics
1 answer:
vekshin12 years ago
3 0
Joey has made the scatterplot shown here, and has graphed the least-squares regression line on it. Which conclusion is justified? A) There is a positive correlation between height and distance. B) There is a negative correlation between height and distance. C) There is a binomial correlation between height and distance. D) There is a non-linear correlation between height and distance.

Correct answer is A
 
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ABCD is a rectangular garden plot . P is a water tap find the distance from P to C
choli [55]

Answer:

PC  = 40/7 = 5.714 m

Step-by-step explanation:

i) the solution can be found by using similarity of triangles.

ii) therefore we can see that \frac{PC}{8}  = \frac{5}{7}

iii) therefore PC  = 40 / 7 = 5.714 m

8 0
2 years ago
There are two misshapen coins in a box; their probabilities for landing on heads when they are flipped are, respectively, .4 and
Leokris [45]

Answer:

E(X) = 6.0706

Step-by-step explanation:

1) Define notation

X = random variable who represents the number of heads in the 10 first tosses

Y = random variable who represents the number of heads in range within toss number 4 to toss number 10

And we can define the following events

a= The first coin has been selected

b= The second coin has been selected

c= represent that we have 2 Heads within the first two tosses

2) Formulas to apply

We need to find E(X|c) = ?

If we use the total law of probability we can find E(Y)

E(Y) = E(Y|a) P(a|c) + E(Y|b)P(b|c) ....(1)

Finding P(a|c) and using the Bayes rule we have:

P(a|c) = P(c|a) P(a) / P(c) ...(2)

Replacing P(c) using the total law of probability:

P(a|c) = [P(c|a) P(a)] /[P(c|a) P(a) + P(c|b) P(b)] ... (3)

We can find the probabilities required

P(a) = P(b) = 0.5

P(c|a) = (3C2) (0.4^2) (0.6) = 0.288

P(c|b) = (3C2)(0.7^2) (0.3) = 0.441

Replacing the values into P(a|c) we got

P(a|c) = (0.288 x 0.5) /(0.288x 0.5 + 0.441x0.5) = 0.144/ 0.3645 = 0.39506

Since P(a|c) + P(b|c) = 1. With this we can find P(b|c) = 1 - P(a|c) = 1-0.39506 = 0.60494

After this we can find the expected values

E(Y|a) = 7x 0.4 = 2.8

E(Y|b) = 7x 0.7 = 4.9

Finally replacing the values into equation (1) we got

E(Y|c) = 2.8x 0.39506 + 4.9x0.60494 = 4.0706

And finally :

E(X|c) = 2+ E(Y|c) = 2+ 4.0706 = 6.0706

6 0
2 years ago
Lisa is william's niece, but she isn't emily niece even though emily is williams sister and william not married. how is it possi
9966 [12]
Is she the family member on the others family side or is it like harder
6 0
2 years ago
categorize the graph as linear increasing, linear decreasing, exponential growth, or exponential decay.
soldier1979 [14.2K]
It is exponential growth
5 0
2 years ago
Read 2 more answers
Rewrite the expression using Distributive Property, then simplify<br><br> -1(x-9)+4x
pentagon [3]
First ask yourselfhat needs to be dristributed.
That would be -1 (x-9)
To distribute you have to multiply the number out side of the parentheses (-1) by each term inside the parentheses( x and -9)
-1×x=-x
-1×-9=9
Now the expression is
-x+9+4x
To simplify you have to combine like terms (4x and-x)
4x-x=3x
Your answer is 9+3x or 3(3+x).
5 0
2 years ago
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