Answer:
Solution given:
For finished box
length[L]=36-4-4=28in
breadth [b]=36-4-4=28in
height[h]=4in
Now
volume of square box=l×b×h=28*28*4=3136in³
1.
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<u>2</u><u>.</u>
if we change the 4 inches into different measurement ,<u>i</u><u>t</u><u>s</u><u> </u><u>m</u><u>a</u><u>x</u><u>i</u><u>m</u><u>u</u><u>m</u><u> </u><u>o</u><u>r</u><u> </u><u>larg</u>est<u> </u><u>volum</u><u>e</u><u> </u><u>i</u><u>s</u><u> </u><u>3</u><u>1</u><u>3</u><u>6</u><u>i</u><u>n</u><u>³</u><u>.</u>
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Negative 72.75 is your product. It is very simple once you understand it.
Answer: There is a strong positive correlation between number of games won by a minor league baseball team and the average attendance at their home games is analyzed.
Step-by-step explanation:
The Pearson's coefficient 'r' gives the correlation between the predicted values and the observed values .
- It tells the direction and the strength of the relation.
- When r is negative it means there is a negative relationship between the variables .
- When r is positive it means there is a positive relationship between the variables .
- When |r|=1 , strong correlation ,
- When r=0 , there is no correlation.
- If 0.70<|r|<1 , there is a strong correlation.
- If 0.50<|r|<0.70 , there is a moderate correlation.
- If 0.30<|r|<0.50 , there is a low correlation.
Given : A regression to predict the average attendance from the number of games won has an r = 0.73.
Since r=0.73 is positive and 0.70 <0.73 <1 , it means there is a strong positive correlation between number of games won by a minor league baseball team and the average attendance at their home games is analyzed.
Answer:
14.99mm
Step-by-step explanation:
Answer:
I'm pretty sure it's 12. hope it helps.