The table shows the number of calories in four meals and the cost of each meal. A 2-column table with 4 rows. The first column i
s labeled number of calories in the meal with entries 550; 1,250' 780; 650. The second column is labeled cost of the meal (in dollars) with entries 12, 11, 13, 10. Which best describes the strength of the model? a weak positive correlation a strong positive correlation a weak negative correlation a strong negative correlation
2 answers:
Answer:
The correlation coefficient between the variables number of calories in four meals and the cost of each meal is weak negative correlation.
Step-by-step explanation:
The data for the number of calories in four meals and the cost of each meal is as follows:
Number of Calories Cost of Meals
550 12
1250 11
780 13
650 10
Use the Excel function "CORREL(array1,array2)" to compute the correlation coefficient between the variables number of calories in four meals and the cost of each meal.
The correlation coefficient between the variables number of calories in four meals and the cost of each meal is -0.13.
The correlation coefficient between 0.00 to ±0.30 is considered as weak correlation coefficient.
The correlation value of -0.13 lies in the range 0 to -0.30. This implies that the correlation coefficient between the variables number of calories in four meals and the cost of each meal is weak negative correlation.
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Answer:
a. 0.71
b. 0.9863
Step-by-step explanation:
a. From the histogram, the relative frequency of houses with a value less than 500,000 is 0.34 and 0.37
-#The probability can therefore be calculated as:
Hence, the probability of the house value being less than 500,000 is o.71
b.
-From the info provided, we calculate the mean=403 and the standard deviation is 278 The probability that the mean value of a sample of n=40 is less than 500000 can be calculated as below:
Hence, the probability that the mean value of 40 randomly selected houses is less than 500,000 is 0.9863