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3 years ago

This line graph shows the temperature in London over a period of time.

Mathematics

2 answers:

VLD [36.1K]3 years ago

7 0

The temperature in London at 2pm is 14°C

matrenka [14]3 years ago

6 0

Answer:

draw a straight line from x point of 2pm up to the line. Then what is the y point of it?

Ill give you an example, for 4pm it's 13C. For 8pm it's 6C. For 9pm it's 8C.

Let me know what you get. And I'll let you know whether it's right or not

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in speech class,you lose 3 points for every 30 seconds you go over the time limit.your speech is 90 seconds over the time limit

Cerrena [4.2K]

You’d loose 9 points if that’s the question

4 0

3 years ago

Hong needs to memorize words on a vocabulary list for Russian class. He has 14 words to memorize, and he is one-half done. How m

Snezhnost [94]

Answer:

Step-by-step explanation:

He has done one half = ½

Finding ½ of 14

½ × 14

Hence, Hong has memorized 7 words

5 0

3 years ago

Read 2 more answers

Given: m∠AOC = 120°, m∠BOD = 150°. Find: m∠BOC.

Molodets [167]

angleBOC = 270°

All 3 angles meet at O thus

angleBOC = angle AOC + angle BOD = 120° + 150° = 270°

8 0

3 years ago

How many times do parallel lines intersect?

yanalaym [24]

Answer:

A) 0

Step-by-step explanation:

The actual definition of parallel lines are lines that never intersect, so the answer is 0

5 0

3 years ago

Some types of algae have the potential to cause damage to river ecosystems. Suppose the accompanying data on algae colony densit

kondor19780726 [428]

Answer:

The equation of the regression line is:

$y~=~234.56158 ~-~ 2.95835 \cdot x$

Step-by-step explanation:

The Least Squares Regression Line is the line that makes the vertical distance from the data points to the regression line as small as possible. It’s called a “least squares” because the best line of fit is one that minimizes the variance.

We have the following data:

$\begin{array}{c|ccccccccc}X&50&55&50&79&44&37&70&45&49\\Y&152&48&22&35&43&171&13&185&25\end{array}$

To find the line of best fit for the points:

Step 1: Find $X\cdot X$ and $X\cdot Y$ as it was done in the table

Step 2: Find the sum of every column:

$\sum{X} = 479 ~,~ \sum{Y} = 694 ~,~ \sum{X \cdot Y} = 32784 ~,~ \sum{X^2} = 26897$

Step 3: Use the following equations to find a and b:

$\begin{aligned} a &= \frac{\sum{Y} \cdot \sum{X^2} - \sum{X} \cdot \sum{XY} }{n \cdot \sum{X^2} - \left(\sum{X}\right)^2} = \frac{ 694 \cdot 26897 - 479 \cdot 32784}{ 9 \cdot 26897 - 479^2} \approx 234.56158 \\ \\b &= \frac{ n \cdot \sum{XY} - \sum{X} \cdot \sum{Y}}{n \cdot \sum{X^2} - \left(\sum{X}\right)^2} = \frac{ 9 \cdot 32784 - 479 \cdot 694 }{ 9 \cdot 26897 - \left( 479 \right)^2} \approx -2.95835\end{aligned}$

Step 4: Assemble the equation of a line

$\begin{aligned} y~&=~a ~+~ b \cdot x \\y~=~234.56158 ~-~ 2.95835\cdot x\end{aligned}$

The graph of the regression line is:

5 0

4 years ago