Answer:
- 16 + ( - 7 )
Step-by-step explanation:
- 16 + ( - 7 ) is same as - 16 - 7.
Answer:
Step-by-step explanation:
The slope of all lines in quadrant 1 is positive. FALSE
The slope of a line does not depend on the quadrant.
The slope of <u>all lines</u> that pass through the origin is undefined.FALSE
The slope of some lines that pass trough the origin are undefined ( lines that are vertical have undefined slope)
The larger the slope, the longer the line.FALSE
The lines do not get longer or shorter because they go to infinity in both directions.
The larger the magnitude of the slope value, the steeper the line. TRUE
The larger the absolute value of the slope the steeper the slope.
<h2>~<u>Solution</u> :-</h2>
Here, it is given that the bag contains 25 paise coins and 50 paise coins in which, 25 paise coins are 6 times than that of 50 paise coins. Also, the total money in the bag is Rs. 6.
- Hence, we can see that, here, we have been given the linear equation be;
Let the number of coins of 50 paise will be $ x $ and the number of coins of 25 paise will be $ 6x $ as given. . .
Hence,




- Hence, the number of 50 paise coins will be <u>2</u>. And, 6 times of two be;

- Hence, the number of 25 paise coins will be <u>12</u>.
The x intercept is (8.75, 0) and y - intercept is (0, -7)
<em><u>Solution:</u></em>
Given that we have to find the x and y intercepts
Given equation is:

The x intercept is the point where the line crosses the x axis
The y intercept is the point where the line crosses the y axis
<em><u>Finding x - intercept:</u></em>
To find the x-intercept of a given equation, plug in 0 for 'y' and solve for 'x'
Substitute y = 0 in given equation

Thus x intercept is (8.75, 0)
<em><u>Finding y - intercept:</u></em>
To find the y-intercept, plug 0 in for 'x' and solve for 'y'
Substitute x = 0 in given equation

Thus y - intercept is (0, -7)
An outlier is an observation that lies outside the overall pattern of a distribution. Usually, the presence of an outlier indicates some sort of problem. This can be a case which does not fit the model under study, or an error in measurement.hope this helps<span>
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