Answer:
b = 1/4m
Step-by-step explanation:
A baker uses 4 berries for every muffin which equation can be used to find the number of berries b needed to make m muffins
Given :
Berries = b
Muffins = m
4 berries for every muffin
4b = m - - - (1)
Th number of berries to make m muffins:
Make b the subject :
Divide both sides by 4
b = m/4
B. y = 3x - 2
Step-by-step explanation:
A linear regression line is in form of Y=A+Bx where B is the slope of the line and A is the intercept when x=0
Form a table as shown
x y xy x² y²
1 4 4 1 16
2 1 2 4 1
3 5 15 9 25
4 10 40 16 100
5 16 80 25 256
6 19 114 36 361
7 15 105 49 225
28 70 360 140 984 ------sum
From the table;
n=7 ---number of data points
∑x = 28
∑y=70
∑xy =360
∑x² =140
∑y² = 984
Applying equations for A and B
A=(∑y)(∑x²) - (∑x)(∑xy) / n (∑x²)-(∑x)²
A=(70)(140) - (28)(360) / 7(140)-(28²)
A=9800 - 10080 / 980-784
A= -280 /196
A= -1.43
B= n(∑xy)-(∑x)(∑y) / n(∑x²)-(∑x)²
B=7(360)-(28)(70) / 7(140) - (28²)
B=2520-1960 /980-784
B=560/196
B=2.86
The equation will be;
Y=A+Bx
Y=-1.43+2.86x
Y=2.86x-1.43
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Regression line : brainly.com/question/12280902
Keywords : equations, regression line, data, table
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For the first one Y = -6
3x + 2Y = -16
-2y -2y
3x = -18y
— —
3x 3x
Then divide -18y divided by 3X
To get Y= -6
Hope that helped!
The modified r squared tells us more about the relationship among sales, price, as well as advertising by explaining approximately 60% of a variance in sales.
<h3>Define the term adjusted r squared?</h3>
R-squared (R2) would be a statistical measure that quantifies the proportion of the variation explained from an independent variable other variables within a regression model for a dependent variable.
- R-squared describes how much the variance with one variable describes the variance of the other.
- So, if a model's R2 is 0.50, the model's inputs can explain roughly half of a observed variation.
- A score of 70 to 100 shows that a specific portfolio closely reflects the underlying stock index, whereas a score of 0 to 40 indicates a relatively poor correlation the with index.
- Higher R-squared scores also suggest that beta measurements are more reliable. The volatility of either a security or portfolio is measured by beta.
Thus, the modified r squared tells us more about the relationship among sales, price, as well as advertising by explaining approximately 60% of a variance in sales.
To know more about the adjusted r squared, here
brainly.com/question/14364216
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Values of slope = (86-71) / (3pm - 10 am) = 15 / 5 = 3
This value of the slope gives the average rise in temperature per hour.
