Answer:
2 * 10^2 times
Step-by-step explanation:
To get the number of times faster the Sparrow’s heart beat compared to the human heart, we divide the number of times the Sparrow’s heart beat compared to a human’s
That will be;
(241,776,000)/(1,533,000) = 157.7142857142857
Now, we want to use a single digit times a power of 10
That will be 1.577 * 10^2
Since it is a single digit, it will be 2 * 10^2
The sparrow's heart beats about 158 times faster compared to the human heart.
A healthy human heart beats about 1,533,000 times in a year, while a sparrow's heart beats about 241,776,000 times in a year.
To find the ratio, we divide the number of times the sparrow's heart beats by the number of times the human heart beats, which gives us:
Ratio = Sparrow's Heart Beats / Human Heart Beats
Ratio = 241,776,000 / 1,533,000
Ratio = 158
Therefore, the sparrow's heart beats about 158 times faster compared to the human heart.
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In the slope-intercept form y=mx b, m stands for the slope and b stands for the y intercept.
Equation of a line in slope intercept form is y = mx + b, where m is the slope of the line and b is the y intercept, which is the y coordinate of the point where it touches the Y axis.
Slope of a line is the ratio of the change in y coordinates to the change in the x coordinates of two points given.
Slope can also be defined as the tangent of the angle that the line is making with the positive X axis.
y intercept is the y coordinate of the point where the line touches with the Y axis. The x coordinate of the point will be 0.
Hence, m stands for slope and b stands for y intercept.
Learn more about Slope Intercept form here :
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A-True
B-False
The statement the line best fit has been an estimate and cannot be calculated. Therefore, the given statement is true.
The best fit line can be defined as the line created by connecting the majority of the points in a scatter plot. Depending on the scatter plot's points, the best fit line may take the form of a straight line or a curve.
The scatter plot's relationships between the variables are better understood when the best fit is used. The maximum scattered point serves as the line's best fit's pivot point.
The predicted line that best matches the plot depends on whether the straight-line equation fits it. As a result, it has not been able to measure the line of optimum fit.
Therefore, the given statement is true.
For more information about the line best fit, refer to the link:
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Answer:
a
Step-by-step explanation: