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bezimeni [28]
1 year ago
6

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

Mathematics
2 answers:
nlexa [21]1 year ago
8 0

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.

slava [35]1 year ago
6 0

Answer:

C. a weak negative correlation

Step-by-step explanation:

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EleoNora [17]

Answer:

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Step-by-step explanation:

4(5x-3)=5x+5=118

We move all terms to the left:

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We multiply parentheses

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We get rid of parentheses

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Lera25 [3.4K]

Answer:

Step-by-step explanation:

Hello, great question. These types are questions are the beginning steps for learning more advanced Probability Problems.

Based on the study that Shane conducted we can assume a couple of things. Firstly, we can see that a vast majority of shoppers are buying products they saw advertised, so we can assume that advertising a product directly affects and contributes to the sales of that particular product.

Secondly, we can tell from the study that the number 1 method for advertising products is the Internet. Since 70% of all the interviewed shoppers are buying a product they saw on the internet.

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