So make a square and then you an answer from (0,1) to (4,3) the slope is 1/2 in simplest form, but for a more accurate answer a calculator.
Answer:
how can I help?
Step-by-step explanation:
with what?
1) false
2)true
3)-1.346
<span>4)<span><span>x=−5</span><span>x=-5</span></span></span>
<span>5)<span>x=3</span></span>
<span>6)x =~ 3.91 </span>
<span>7) x = 162.69 </span>
<span>hope I helped :)</span>
7)
<h2>ANSWER:</h2><h2 /><h2>
<u>1</u><u>6</u><u>,</u><u>0</u><u>0</u><u>0</u></h2>
<h2>
<u>EXPLA</u><u>NATION</u><u>:</u></h2>
<u>3</u><u>0</u><u>0</u><u>+</u><u>5</u><u>%</u><u>+</u><u>2</u><u>YEARS</u><u>=</u><u>1</u><u>6</u><u>,</u><u>0</u><u>0</u><u>0</u>
<u>HOPE</u><u> IT</u><u> HELPS</u><u> YOU</u>
<u>CAN</u><u> </u><u>YOU</u><u> BRAINLEST</u><u> ME</u>
Answer:
Absenteeism significantly increases cost.
Step-by-step explanation:
We are given the following in the question:
The Sensor Dynamics Corporation did a scientific study on the impact of absenteeism on increased costs.
The correlation between the two was found to be 0.7
Correlation:
- It is a measure of linear relationship between two quantities.
- A positive correlation means that an increase in one quantity leads to an increase in another quantity
- A negative correlation means with increase in one quantity the other quantity decreases.
- Values between 0 and 0.3 tells about a weak positive linear relationship, values between 0.3 and 0.7 shows a moderate positive correlation and a correlation of 0.7 and 1.0 states a strong positive linear relationship.
Thus, we can say that there is a high positive correlation between absenteeism and cost.
Thus, absenteeism significantly increases cost.
