Answer: D) The linear model shows a strong fit to the data
The actual strength of the relationship is unknown unless we have the actual values of each data point (so we can compute the correlation coefficient r), but the residuals are randomly scattered about both above and below the horizontal axis. This means we have a fairly good linear fit. If all of the points were above the line, or all below the line, or all residuals fit a certain pattern (eg: parabola), then it wouldn't be a good linear fit.
The exponential function is given by y = 160(1.06)ˣ
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Exponential function</h3>
An exponential function is in the form:
y = abˣ
where a is the initial value of y, b is the multiplier, y, x are variables.
Let y represent the amount of bacteria after x hours.
Given an initial 160 bacteria, hence a = 160.
Also b = 100% + 6% = 106% = 1.06
The exponential function is given by y = 160(1.06)ˣ
Find out more on Exponential function at: brainly.com/question/12940982
Answer:
cant see the pics
Step-by-step explanation:
Answer:
4
Explanation:
Since the third term is the sum of the two previous terms
Continuing in like manner
Since
Recall:
The sequence is therefore:
8,-5,3,-2,1,-1,0
The sum of the seven numbers is 4.
