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insens350 [35]
3 years ago
14

What does a residual value of 1.3 mean when referring to the line of best fit of a data set?

Mathematics
2 answers:
suter [353]3 years ago
8 0
<span>A data point is 1.3 units above the line of best fit</span>
Mashutka [201]3 years ago
3 0
<h2>Answer:</h2>

The residual value of 1.3 mean when referring to the line of best fit of a data set is:

         The point lie 1.3 units above the line of best fit.

<h2>Step-by-step explanation:</h2>

<u>Residual value--</u>

In statistics the residual value is the difference between the Measured value (i.e. the value on the scatter plot or the data point) and the  predicted value ( i.e. the value that lie on the line of best fit)

Hence, if the Residual value is positive then the point lie above the line of best fit and if the Residual value is negative then the data point lie below the line of best fit or trend line.

Hence, here the residual value is 1.3, this means that the data point lie 1.3 units above the line of best fit.

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Step-by-step explanation:

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3 years ago
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The probability of getting a head when a biased coin is tossed is 2/5. The coin is tossed three times. Find the following probab
NeTakaya

Answer:

<u>P(three tails) = 27/125 or 21.6%</u>

<u>P(two tails followed by one head) = 18/125 or 14.4%.</u>

Step-by-step explanation:

1. Let's review the information provided to us to answer the questions correctly:

Probability of getting a head when a biased coin is tossed = 2/5

therefore,

Probability of getting a tails when a biased coin is tossed = 3/5

2. Find the following probabilities and select the correct solution.

P(three tails) =

3/5 * 3/5 * 3/5 = 27/125 or 21.6%

P(two tails followed by one head) =

3/5 * 3/5 * 2/5 = 18/125 or 14.4%.

6 0
3 years ago
4. IQ scores are normally distributed with a mean of 100 and a standard deviation of 15. In a
borishaifa [10]

675 people will have score between 85 and 120

Step-by-step explanation:

Given

Mean = 100

SD = 15

If we have to find percentage of score between two values we have to find the z-score for both values and then area under the curve for both values

z-score is given by:

for a value x:

z-score = \frac{x-mean}{SD}

So,

For 85:

z-score = z_1 = \frac{85-mean}{SD}\\ = \frac{85-100}{15}\\=\frac{-15}{15}\\=-1

z-score = z_2 = \frac{120-mean}{SD}\\ = \frac{120-100}{15}\\=\frac{20}{15}\\=1.3333

Now we have to find the area under the curve for both values of z-score. z-score tables are used for this purpose.

So,

For z1 : 0.1587

For z2: 0.9082

The area between z11 and z2:

z_2-z_1 = 0.9082-0.1587=0.7495

So the probability of score between 85 and 120 is 0.7495

As the sample is of 900 people, the people with scores between 85 and 120 will be:

900*0.7495 = 674.55 people

Rounding off to nearest whole number

675 people will have score between 85 and 120

Keywords: Probability, SD

Learn more about probability at:

  • brainly.com/question/10978510
  • brainly.com/question/11007026

#LearnwithBrainly

4 0
4 years ago
45% of 81.2 is a number between.....
Misha Larkins [42]
36.54
45% of 81.2 is 36.54.
3 0
3 years ago
40 points please help me due in 50 minutes!
velikii [3]
U use sin
sin50 = b/10
b=10(0.76)
b=7.6
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3 years ago
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