The correlation coefficient for the data in the table was found to be 0.93.
The correct option is A.
<h3>What is the correlation coefficient?</h3>
The correlation coefficient focuses on the linear relationship between two variables.
Given
The first column is labeled time spent at the dentist (in hours) with entries 1.4, 2.7, 0.75, 1.6.
The second column is labeled bill amount (in dollars) with entries 235, 867, 156, 215.
The numbers between -1 and 1 should be one of the values related to the bill.
Taking the independent variable or input variable as, the time a patient spends at the dentist and the dependent variable or output variable as the amount of the bill.
Hence, The correlation coefficient for the data in the table was found to be 0.93.
To know more about correlation coefficient click the link given below.
brainly.com/question/26197675
Since he must not exceed 8 hours driving in a day:
Let the distance of the picnic be = x km.
Therefore time for forward journey = x / 60
Return journey = x / 50
The total trip should not exceed 8 hours.
Therefore: x / 60 + x / 50 <= 8. LCM = 300
Taking LCM and multiplying on both sides:
5x + 6x <= 8(300)
11x <= 2400
x <= 2400/11
x <= 218.18
The picnic spot must be less than or equal to 218.18 km.
Answer: Irrational number
If the decimal digits repeat forever, then the repeating decimal is considered rational.
For instance, 2/99 = 0.020202020202... where the "02" repeats forever
If we don't have such a pattern, then we cannot write the decimal as a fraction of two integers and the number is not rational. So it is irrational.
Answer:
1 and 3 are biased
Step-by-step explanation:
A biased sample is ond where all individuals were not given equal likelihood of being selected.
Number 1;
Picking students from the cafeteria would lead to sampling bias because not every student from the school eats from the cafeteria. Those she selected can not be used to account for the whole school. Those that use the cafeteria are only a representation of the whole school and not the entire school.
For number 3:
Paul is interested in finding the mean number of cloth shoppers In a mall and is only collecting data from one clothing store without considering other stores in the mall.