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steposvetlana [31]
3 years ago
5

Jovian decided to collect data to determine if students' heights and their shoe sizes are correlated. He determined the data to

have a correlation coefficient of 0.98. What does this r value indicate? No correlation A strong, positive correlation A weak, positive correlation A negative correlation
Mathematics
1 answer:
Phantasy [73]3 years ago
7 0

Answer:

A strong positive correlation

Step-by-step explanation:

A strong correlation when the correlation coefficient is close to 1 or -1. If the correlation coefficient is close to positive 1, then it is a positive strong correlation coefficient. If the correlation coefficient is close to negative 1, then it is a negative strong correlation coefficient.

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Need to evaluate 256 and fraction 1/4
postnew [5]

Answer:

256fraction=1/4

256÷4=64

64 answer this fraction

6 0
3 years ago
Use the graph that shows the solution to F(x) = G(x)
Alisiya [41]

Answer: B. 0 and D. 3

Step-by-step explanation:

Here the given function is,

f(x) = \frac{7}{3}x-3

g(x) = 2^x-4

For finding the solution of this system of equation,

First we will plot the function on the graph,

Graph of function f(x),

x-intercept and y-intercept are (1.286,0) and (0,-3) respectively,

Also, it is a straight line,

Hence, we can plot this line on the graph,

Graph of function g(x),

Function g(x) is an exponential function having x-intercept and y -intercept, (2,0) and (0,-3) respectively.

Also, the end behavior is,

As x\rightarrow \infty , f(x)\rightarrow \infty

As  x\rightarrow -\infty , f(x)\rightarrow -4

Hence, we can plot the graph of g(x),

By plotting the graph,

We found that the intersection of the function f(x) and g(x) are (0,-3) and (3,4).

Hence, the solution of the system is the x-coordinates of the intersection points that are 0 or 3.

⇒ Option B and C is the correct options.

 

6 0
3 years ago
Read 2 more answers
6. Gabriella invests $6,500 into a savings account that earns 4.5% interest, and she is investing the money for 5 years without
sdas [7]

Answer:

1,462.50

Step-by-step explanation:

6500

x.045

=292.50 per year

x.         5 years

=1,462.50

4 0
3 years ago
For each long-distance call anywhere in the continental United States, a new phone service will charge users $0.60 per minute fo
8_murik_8 [283]

Answer:

Average call Becomes 15 minutes

Step-by-step explanation:

For Tom's Dorm to not run at a loss for switching to the new phone service the Average length of phone calls must not be less than fifteen (15) minutes.

Mathematically,

If he remains on his current phone line, a call of 15 minutes will cost :

= 0.1 * 15 = $1.5

But if he switches to the new phone line and makes a call for 15minutes, the cost will become :

First 2 minutes = 0.6 * 2 = $1.2

Subsequent 13 minutes will cost = 0.02 * 13 = 0.26

Total call for 15minutes on the new phone line = 1.2 + 0.26 = 1.46.

Since the cost became significantly lesser for 15mins when he switches to the new phone line, then the average calls Tom should make should not be less than 15 minutes.

4 0
3 years ago
Discuss how these two branches of statistics will provide different capabilities and impacts in your engineering discipline. Pro
Makovka662 [10]

Answer:

Key Differences Between Descriptive and Inferential Statistics:

The difference between descriptive and inferential statistics can be drawn clearly on the following grounds:

Descriptive Statistics is a discipline which is concerned with describing the population under study. Inferential Statistics is a type of statistics; that focuses on drawing conclusions about the population, on the basis of sample analysis and observation.

Descriptive Statistics collects, organises, analyzes and presents data in a meaningful way. On the contrary, Inferential Statistics, compares data, test hypothesis and make predictions of the future outcomes.

There is a diagrammatic or tabular representation of final result in descriptive statistics whereas the final result is displayed in the form of probability.

Descriptive statistics describes a situation while inferential statistics explains the likelihood of the occurrence of an event.

Descriptive statistics explains the data, which is already known, to summarise sample. Conversely, inferential statistics attempts to reach the conclusion to learn about the population; that extends beyond the data available.

Ex. Of 350 randomly selected people in the town of Luserna, Italy, 280 people had the last name Nicolussi. An example of descriptive statistics is the following statement :

"80% of these people have the last name Nicolussi."

Ex. Of 350 randomly selected people in the town of Luserna, Italy, 280 people had the last name Nicolussi. An example of inferential statistics is the following statement :

"80% of all people living in Italy have the last name Nicolussi."

We have no information about all people living in Italy, just about the 350 living in Luserna. We have taken that information and generalized it to talk about all people living in Italy. The easiest way to tell that this statement is not descriptive is by trying to verify it based upon the information provided.

6 0
3 years ago
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