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olya-2409 [2.1K]
3 years ago
5

Given the figure below, find the values of x and z.

Mathematics
2 answers:
bogdanovich [222]3 years ago
5 0

Answer:

76

Step-by-step explanation:

you have to plug it in to check

Liula [17]3 years ago
4 0

Answer:

76

Step-by-step explanation:

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Every floor of a 20 storey building is 5m in high. If a lift moves 2m every second, how long will it take to move from 3rd floor
kramer

Answer:

30 seconds

Step-by-step explanation:

→ Work out how many floors it's going to travel

15 - 3 = 12 floors

→ Work out how many meters 12 floors is

12 × 5 = 60 meters

→ Work out how long that will take

60 ÷ 2 = 30 seconds

3 0
3 years ago
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Black_prince [1.1K]
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7 0
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Consider the following scenario describing the Cambridge Mall parking lot: The number of wheels in the parking lot is based on t
emmasim [6.3K]
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5 0
3 years ago
b. Interpret the Rsquared value. Does the multiple regression equation help us predict the total golf score much better than we
Veseljchak [2.6K]

Answer:

Depending upon the golf score predictors we can conclude the answer from given Conditional statements

If Someone want Total golf score better then, following .condition

Yes, Because R squared is close to 1 .  ....(If Regression values are prefect to fit with model then only)

<em>(But the data is not sufficient to say 100%, it depends on score given)</em>

Step-by-step explanation:

Given :

Explanatory Question on r-squared in regression.

To Find :

Does regression equation help us to know total golf score much better.

Solution;

As  in Question there is no golf score given so we cant see "yes" or "no".

But we can be conditional here ,

1) If golf score to be accurate then , multiple regression predict points should fit the model prefect ,hence the R squared value "<em>must be close to 1</em>" .

2) If gold score is not accurate then multiple regression   suggest that model does  not explain any variables, no linear relationship.

then r squared value <em>"must not be close to 1".</em>

Depending upon the golf score predictors we can conclude the answer from given Conditional statements.

that  Yes, Because R squared is close to 1 .

7 0
3 years ago
Please help me with this question it’s a do right away please see image thank you so much
MAVERICK [17]

I have done this question yesterday it is 1 and 3

8 0
3 years ago
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