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MrRissso [65]
3 years ago
10

1. Which of the following is not a linear equation in one variable?

Mathematics
1 answer:
Lorico [155]3 years ago
5 0

\huge \boxed{\mathbb{QUESTION} \downarrow}

Which of the following is not a linear equation in one variable?

a) 33

b) 33(x+y)

c) 33x

d) 33y

\large \boxed{\mathfrak{Answer \: with \: Explanation} \downarrow}

  • Option <em><u>b) 33 (x + y)</u></em> is not a linear equation in 1 variable.
  • Here, we can see that there are 2 variables used ⇨ x & y. Hence, even though it's a linear equation, it's not in 1 variable.
  • All the other options are in 1 variable or don't have a variable at all.
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What are the intercepts for x and y ? thanks in advance
SpyIntel [72]

Answer:

see explanation

Step-by-step explanation:

The x- intercept is the value of x where the line crosses the x- axis.

The x- intercept is (0.3, 0)

The y- intercept is the value of y where the line crosses the y- axis

The y- intercept is (0, 0.4)

3 0
3 years ago
Please help me it is due today
boyakko [2]

Answer:

B

Step-by-step explanation:

A give me 2'zero

b give me 9'zero

c give 8'zero

d gives 5 zero

e give me 4'zero

for example it give me two zero it 100

or if five 5 zero it 100000

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3 0
3 years ago
Victoria is taking swimming lessons. Her swimming instructor charges $29.50 per hour. If Victoria has swimming lessons for 4.5 h
jarptica [38.1K]

Answer:

123.75

Step-by-step explanation:

4.5 x 29.50 = 123.75

7 0
3 years ago
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IRISSAK [1]
I think the answer is C
7 0
3 years ago
HELP: Part A: Using computer software, a correlation coefficient of r=0.51 was calculated. Based on the scatter plot, is that an
user100 [1]

Answer:

Part A: YES, it is.

Part B: the amount of pumpkin picked and the amount of fertilizer applied.

Step-by-step explanation:

Part A:

The closer the correlation coefficient is to 1, the stronger the relationship between two variables, and vice versa. Also, the closer the data points are on a scatter plot, the closer the correlation coefficient is to 1.

The scatter plot shown indicates a positive correlation between number of days and number of pumpkins. However, the data points are to some extent farther apart from each other. This shows a moderate relationship between the two variables. Therefore, a correlation coefficient, r, of 0.51 that was calculated can be concluded to be accurate , because an r of 0.51 depicts a moderate relationship between two variables.

Part B:

A variable that could affect the number of pumpkins picked could be amount of fertilizer applied, instead of the day in October. Thus, we can compare the amount of pumpkin picked and the amount of fertilizer applied.

8 0
3 years ago
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