QUESTION IMAGE
Question
the table shows the time a patient spends at the dentist and the amount of the bill. bill amount for time spent at the dentist
| time spent at the dentist (in hours) | bill amount |
|---|---|
| 2.7 | $867 |
| 0.75 | $156 |
| 1.6 | $215 |
what is the correlation coefficient for the data in the table?
-0.93
-0.27
0.27
0.93
Step1: Recall correlation coefficient concept
The correlation coefficient $r$ measures the strength and direction of a linear relationship between two variables. A positive $r$ indicates a positive - linear relationship (as one variable increases, the other increases), and a negative $r$ indicates a negative - linear relationship (as one variable increases, the other decreases). Values of $r$ range from - 1 to 1, where $|r| = 1$ is a perfect linear relationship and $r = 0$ means no linear relationship.
Step2: Analyze the data trend
As the time spent at the dentist increases (from 0.75 hours to 2.7 hours), the bill amount also generally increases (from $156 to $867). So, we expect a positive correlation coefficient.
Step3: Eliminate negative - correlation options
Options - 0.93 and - 0.27 can be eliminated since they represent negative correlations.
Step4: Consider the strength of the relationship
The data points seem to follow a relatively strong linear pattern. A correlation coefficient of 0.27 would indicate a weak positive correlation, while a value of 0.93 indicates a strong positive correlation. Given the general upward - trend of the data, the correlation coefficient is likely to be 0.93.
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0.93