Can you please help me, thank you<3

The scatter plot would closely resemble a straight line with a negative slope. The data has a strong, negative correlation, and a causal relationship exists between the team playing at home and winning.

Step-by-step explanation:

In a scatter plot, the values of two variables are shown, on the x-axis and the y-axis.

The correlation coefficient is a number calculated from the data in the plot, that represents how much the two variables are related to each other.

The value of the correlation coefficient is between -1 and 1.

In particular, we have:

- If the coefficient is positive and near to 1, there is a strong positive correlation: it means that as the independent variable increases, the dependent variable increases as well

- If the coefficient is close to zero, there is no correlation: the two variables are independent from each other

- If the coefficient is negative and near to -1, there is a strong negative correlation: it means that as the independent variable increases, the dependent variable decreases

In this problem, the correlation coefficient is -0.91, so we have strong negative correlation. Therefore, the correct answer is

The scatter plot would closely resemble a straight line with a negative slope. The data has a strong, negative correlation, and a causal relationship exists between the team playing at home and winning.