An equation for the line of best fit is y = -0.3x + 4.5 and the value of "m" is -0.3.
<h3>What is a line of best fit?</h3>
A line of best fit simply refers to a statistical tool that is used in conjunction with a scatter plot, in order to determine whether or not there's any association (correlation) between data points.
In this scenario, the ordered pairs would be plotted on the x-coordinate and y-coordinate of a scatter plot.
By critically observing the scatter plot (see attachment) which models the ordered pairs, we can reasonably and logically deduce that a linear function for the line of best fit is given by:
y = -0.3x + 4.5 ≡ y = mx + b
<u>Where:</u>
- -0.3 or m represents the slope.
- x and y are the points.
- 4.5 or b represents the y-intercept.
Therefore, m is equal to -0.3.
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Answer:
2,500
Step-by-step explanation:
Multiply 10,000 with 1/4 and since 1/4 equals to 25%.
10,000 x 1/4 = 2,500
Your answer is there and I hope this helps!
It is called the X cordinate
(X,Y)
Answer:
A. Ratios are both identical
Step-by-step explanation:
sin x = 3/5
cos y = 3/5
hope it helps
Answer:
P=0.54.
Step-by-step explanation:
We know that in a sample of 6500 automobiles found that 1560 of the automobiles were black, 3120 of the automobiles were sedans, and 1170 of the automobiles were black sedans.
We calculate the number of sedans that are not black:
3120-1170=1950
We calculate the number of black cars that are not sedans:
1560-1170=390
The number of automobiles which are black or a sedan is
1950+390+1170=3510.
The probability that the automobile is black or a sedan is:
P=3510/6500
P=0.54.