Why are curvilinear relationships hard to detect with correlation coefficients (r)? group of answer choices
a. because r always assumes a negative relationship
b. because r always looks for the best straight line to fit the data
c. because r always assumes a zero association
d. because curvilinear relationships require a large amount of scores

step-by-step explanation:

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i believe the answer is c.

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b) 62.47% of the students are between 14 and 18 years old.

step-by-step explanation:

mean = 15 and standard deviation = 2

student between 14 to 18

formula used z-score

for age 14 , z score

using z-table , p(z> -0.5)=0.3085

for age 18 , z score

using z-table , p(z< 1.5)=0.9332

p(-0.5< z< 1.5)=0.9332-0.3085 = 0.6247

thus, 62.47% of the students are between 14 and 18 years old.

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