Answer:
The height of the right circular cylinder is 4.55 inches ⇒ b
Step-by-step explanation:
The formula of the surface area of a right circular cylinder is
S.A = 2πrh + 2πr², where
∵ The surface area of a right circular cylinder is 300 square inches
∴ S.A = 300 in.²
∵ Its radius is 5 inches
∴ r = 5 in.
∵ π = 3.14
→ Substitute them in the rule above
∵ 300 = 2(3.14)(5)(h) + 2(3.14)(5)²
∴ 300 = 31.4h + 157
→ Subtract 157 from both sides
∵ 300 - 157 = 31.4h + 157 - 157
∴ 143 = 31.4h
→ Divide both sides by 31.4
∵ 4.554140127 = h
∴ 4.55 = h
∴ The height of the right circular cylinder is 4.55 inches
Answer:
it's (_10, 19) hope that helps please make me brainlyest
Answer:
1,560,000 mm²
Step-by-step explanation:
A=
This would make shape A's area <u>480,000</u>.
B=
This would make shape B's area <u>180,000</u>.
C=
This would make shape C's area <u>300,000</u>.
D= 1000×600 This wouls make D's area <u>600,000</u>.
Now you add up all of the areas;
480,000+180,000+300,000+600,000= 1,560,000 mm²
Answer:
D. All of the above
Step-by-step explanation:
Linear regression models relate to some assumptions about the distribution of error terms. If they are violated violently, the model is not suitable for drawing conclusions. Therefore, it is important to consider the suitability of the model for information before further analysis can be performed based on this model.
The fit of the model is related to the remaining behavior complying with the basic assumptions for error values in the model. When a regression model is constructed from a series of data, it should be shown that the model responds to the standard statistical assumptions of the linear model because of conducting inference. Residual analysis is an effective tool to investigate hypotheses. This method is used to test the following statistical assumptions for a simple linear regression model:
-Regression function is linear in parameters,
-Error conditions have constant variance,
-Error conditions are normally distributed,
-Error conditions are independent.
If no statistical hypothesis of the model is fulfilled, the model is not suitable for data. The fourth hypothesis (independence of error conditions) relates to the regulation of time series data. It is now used some simple graphical methods to analyze analysis, the feasibility of a model, and some formal statistical tests. In addition, when a model fails to meet these assumptions, some data changes may be made to ensure that the assumptions are reasonable for the modified model.
Answer: ![x=45](https://tex.z-dn.net/?f=x%3D45)
<u>Simplify both sides of the equation</u>
<u></u>![x+1.2x+1=100](https://tex.z-dn.net/?f=x%2B1.2x%2B1%3D100)
(Combine Like Terms)
![2.2x+1=100](https://tex.z-dn.net/?f=2.2x%2B1%3D100)
<u>Subtract 1 from both sides</u>
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<u>Divide both sides by 2.2</u>
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