Pls soon! amélie runs a bakery. she wants to find out whether her cake sales are affected by the weather conditions. she recorded the daily temperature and the number of cakes she sold on different days of the year. the table shows the data she gathered. daily temperature (°f)-42,45,48,54,59,62,64,65,67,75, 84 cakes sold- 39,52,31,61,72,35,61,34,58,45,24 question; fill in blank- 1.the correlation coefficient is close to a. -0.20 b. 0.50 c. -0.75 d.1.00 2. based on this information, we can conclude that amélie's cake sales are affected by the daily temperature. a. strongly b. moderately c. not

#1) A. -0.20; #2) C. Not

Step-by-step explanation:

The number of cakes is thought to depend on the temperature.  This means that the number of cakes would be the dependent variable, y, and the temperature would be the independent variable, x.

This means in our calculator, the temperature data goes in the first list and the cake data goes in the second list.

Running a linear regression after entering the data, we get our correlation coefficient, r, as -0.1974, which rounds to -0.20.

This is not very close to -1; this means it is not a very good fit.

the mistake in the pattern is that :

b. the decimal point was moved one too many place values each time

the correct pattern could be made by :

b. moving the decimal point to the right the same numbers of place values as the exponents