Data was collected on the amount of food (in grams) served at two restaurants and the price paid for the meal. The regression line for the data appears on the first plot. The second plot shows the regression analysis conducted when the data is analyzed separately for each of the two restaurants. Which of the following statements best describes the relationship between the variables? a. The correlation between amount of food served and price is very strong within each restaurant, but seems weak when both restaurants are combined.
b. The correlation between amount of food served and price is strong.
c. The correlation between amount of food served and price is weak within each restaurant, but seems strong when both restaurants are combined.
d. The correlation between amount of food served and price is weak.

Option A, The correlation between amount of food served and price is very strong within each restaurant, but seems weak when both restaurants are combined.

Step-by-step explanation:

The graphs for this question are provided in the attachment

Solution -

Graph I - the data points in the graph I do not follow any best fit curve or trendline. This indicates that data is not correlated.

Graph -II In graph II, apart from few outliners majority of data points lie on the best fist curve or the trendline.

Hence, the relation between the two variables i.e food served and price is strong.

Option A fits well for our answer hence it is the correct answer

1gm = 1000mg so 0.1gm = 1000mg

first, convert the weight to kg

160lb * 1kg/2.2lb = 72.7kg

next, the dose

72.7kg * 100mg/kg = 7270mg

answer: all of the odd numbers were opened

the first person was the one that was opening all of the lockers. since one is odd, this causes all of the odd number lockers to be opened in the end.