The correlation between high temperature and hot chocolate sales is not provided. Calculations are needed to determine the correlation coefficient.
To determine the correlation between the high temperature and the number of cups of hot chocolate sold, you can use the Pearson correlation coefficient. This statistical measure assesses the linear relationship between two variables. The correlation coefficient ranges from -1 to 1, where -1 indicates a perfect negative correlation, 1 indicates a perfect positive correlation, and 0 indicates no correlation.
In your case, the high temperature is the independent variable, and the number of cups of hot chocolate sold is the dependent variable. Calculating the correlation coefficient using the given data points:
High temperature: 44, 37, 20, 29, 31, 33, 15
Cups of hot chocolate sold: 33, 44, 58, 50, 57, 47, 67
After performing the calculations, if the correlation coefficient is close to 1, it implies a strong positive correlation, meaning as the high temperature increases, the number of cups of hot chocolate sold also tends to increase. If it is close to -1, there is a strong negative correlation, suggesting that as the high temperature increases, the number of cups sold decreases. A correlation coefficient near 0 indicates a weak or no linear correlation.
Interpreting the correlation coefficient in the context of your data will provide insights into the relationship between high temperature and hot chocolate sales.