In a test of a particular weight loss program, weights of 40 subjects are recorded before and after the program. The before-and-after weights result in a correlation coefficient of 0.876. Assuming a 0.05 significance level, find the critical values. Is there sufficient evidence to support the claim of a linear correlation between before-and-after weights?

I just took the quiz, the answer is A: Critical values=0.312; there is sufficient evidence to support a claim of a linear correlation between before-and-after weights.

A- 0.312 there is

B - 0.561

D - 0.254

A - 0.917 there is

A - .707 there is NOT

A - 0.918

A - 0.765

B - -0.992

B - 0.985, crit= 0.917

C - 0.867, crit= 0.878

Step-by-step explanation:

just did it

answer:   rlly

step-by-step explanation:

x ≥ 18 is your answer

step-by-step explanation:

let "a number" = x

(2/3)x + 17 ≥ 29

isolate the variable (x). do the opposite of pemdas (parenthesis, exponent (& root), multiplication, division, addition, subtraction).

first, subtract 17 from both sides.

(2/3)x + 17 (-17) ≥ 29 (-17)

(2/3)x ≥ 29 - 17

(2/3)x ≥ 12

next, multiply 3/2 to both sides to isolate the x

(3/2)(2/3)x ≥ 12(3/2)

x ≥ 12(3/2)

simplify. multiply, then divide

x ≥ (12 * 3)/2

x ≥ (36)/2

x ≥ 18

x ≥ 18 is your answer

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