Mathematics, 25.08.2020 08:01 nails4life324
Determine whether the data show a linear relationship. If so, write an equation of a line of fit
Minutes walking,
Calories burned, y
16
6 27
11 13 16
50 56 70
The data do not show a linear
relationship
The data show a linear
relationship, The equation is
y= 4.25z + 1.75
The data show a linear
relationship. The equation is
y=6z
The data show a linear
relationship. The equation is
y = 1.752 +4.25
If there is a linear relationship, use the selected equation to estimate y viden z = 15 and interpret its meaning in the context of the station
which means that after
minutes, you have burned calories
Answers: 3
Mathematics, 21.06.2019 17:00, iamaguest
Idont understand math at all! : o( use this scenario to answer the remaining questions: brenton purchased a new bedroom set for $4,500.00. he lives in arizona and pays a 8.75% sales tax. if he made a 50% down payment and financed the rest, what amount did he finance? what is the total sales tax brenton will pay? enter your answer in currency format, round to the nearest cent. what was brenton's total amount financed? enter your answer in currency format, round to the nearest cent.
Answers: 3
Mathematics, 22.06.2019 01:10, andrejr0330jr
Farmers know that driving heavy equipment on wet soil compresses the soil and injures future crops. here are data on the "penetrability" of the same type of soil at two levels of compression. penetrability is a measure of how much resistance plant roots will meet when they try to grow through the soil. compressed soil 2.85 2.66 3 2.82 2.76 2.81 2.78 3.08 2.94 2.86 3.08 2.82 2.78 2.98 3.00 2.78 2.96 2.90 3.18 3.16 intermediate soil 3.17 3.37 3.1 3.40 3.38 3.14 3.18 3.26 2.96 3.02 3.54 3.36 3.18 3.12 3.86 2.92 3.46 3.44 3.62 4.26 use the data, omitting the high outlier, to give a 95% confidence interval for the decrease in penetrability of compressed soil relative to intermediate soil. compute degrees of freedom using the conservative method. interval: to
Answers: 1
Determine whether the data show a linear relationship. If so, write an equation of a line of fit
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