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Sagot :
To determine how Amélie's cake sales are affected by the daily temperature, we first calculate the correlation coefficient between the daily temperatures and the number of cakes sold. The correlation coefficient quantifies the type and strength of the relationship between two variables.
1. The correlation coefficient is close to [tex]\(\boxed{-0.1008}\)[/tex].
This numerical value indicates the strength and direction of the relationship between temperature and cake sales:
- A correlation coefficient close to 1 indicates a strong positive relationship.
- A correlation coefficient close to -1 indicates a strong negative relationship.
- A correlation coefficient around 0 indicates no relationship.
2. Based on this information, we can conclude that Amélie's cake sales are [tex]\(\boxed{\text{weakly}}\)[/tex] affected by the daily temperature.
The correlation coefficient of -0.1008 suggests there is a very weak negative relationship between daily temperature and the number of cakes sold, meaning that temperature has very little impact on the number of cakes sold.
1. The correlation coefficient is close to [tex]\(\boxed{-0.1008}\)[/tex].
This numerical value indicates the strength and direction of the relationship between temperature and cake sales:
- A correlation coefficient close to 1 indicates a strong positive relationship.
- A correlation coefficient close to -1 indicates a strong negative relationship.
- A correlation coefficient around 0 indicates no relationship.
2. Based on this information, we can conclude that Amélie's cake sales are [tex]\(\boxed{\text{weakly}}\)[/tex] affected by the daily temperature.
The correlation coefficient of -0.1008 suggests there is a very weak negative relationship between daily temperature and the number of cakes sold, meaning that temperature has very little impact on the number of cakes sold.
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