Question

Using the accompanying data​ set, regress y=weight and x=capacity of battery. Complete parts a through c...

Using the accompanying data​ set, regress y=weight and x=capacity of battery. Complete parts a through c below.

Weight (g)=y Battery Capacity (mAh) =x


135,1592
132,904
136,1847
108,1402
153,1817
128,1493
138,1507
116,1020
130,1204
97,1201
150,1493
94,1118
112,1323
116,1491
147,1653
115,1505
89,888
130,1507
138,1194
107,1327
92,864
155,1828
131,2103
85,1054
136,1500
121,1129
77,646
132,1306
113,1291
160,1402
152,1208
136,1759
85,861
131,1866
184,1495
131,2096
171,1410
136,1538
127,1641
126,1232
143,1525
107,1040
137,1205
131,1309
121,1295
89,1019
164,1292
101,1505
158,1391
102,1313

a) Find a​ 95% confidence interval for the mean weight of cell phones with battery capacity1500 mAh. Interpret the interval with 95% confidence, the mean weight

of a phone with 1500 mAh of battery capacity falls between _______ grams and _______ grams.

​(Use ascending order. Round to the nearest integer as​ needed.)

b)Find a​ 95% prediction interval for the weight of a cell phone with a battery capacity of1500 mAh. Interpret.

c)Explain the differences between the purposes of the intervals in a and b.

Homework Answers

Answer #1

(a) The 95% confidence interval is (125, 138).
The mean weight of a phone with 1500 mAh of battery capacity falls between 125 grams and 138 grams.

(b) 95% prediciton interval = (89.88, 172.91) = (90, 173) (if rounded to nearest integer).

(c) In case of a prediction interval, we are finding out an interval estimate inside which a future observation will lie, given the current observations. In case of a confidence interval, we are finding the interval estimate inside the mean value of the dependent variable will lie, which is unknown to us.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Practice question 4 The factory manufactures lego parts. We assume that the weight X [grams] follows...
Practice question 4 The factory manufactures lego parts. We assume that the weight X [grams] follows the N (1.95, 0.052) distribution and the lego parts are packed in packages of 100 parts. What is the probability that the weight of one lego part randomly removed from the package is between 1.8 g and 2.1 g? Specify a 95% confidence interval for the weight of the package. What is the probability that the weight of at most one lego part in...
Refer to the accompanying data set of mean​ drive-through service times at dinner in seconds at...
Refer to the accompanying data set of mean​ drive-through service times at dinner in seconds at two fast food restaurants. Construct a 99​% confidence interval estimate of the mean​ drive-through service time for Restaurant X at​ dinner; then do the same for Restaurant Y. Compare the results. LOADING... Click the icon to view the data on​ drive-through service times. Construct a 99​% confidence interval of the mean​ drive-through service times at dinner for Restaurant X. nothing secless thanmuless than nothing...
A company that produces cell phones claims its standard phone battery lasts longer on average than...
A company that produces cell phones claims its standard phone battery lasts longer on average than other batteries in the market. To support this​ claim, the company publishes an ad reporting the results of a recent experiment showing that under normal​ usage, their batteries last at least 35 hours. To investigate this​ claim, a consumer advocacy group asked the company for the raw​ data, which are shown to the right. Find a 95 ​% confidence interval and state your conclusion....
For the data set shown below, complete parts (a) through (d). X Y 20 102 30...
For the data set shown below, complete parts (a) through (d). X Y 20 102 30 97 40 93 50 83 60 72 (a) Find the estimates of Bo and B1. Bo=bo= _____ (Round to three decimal places as needed.) B1=b1= ______(Round to four decimal places as needed.) (b) Compute the standard error the point estimate for se= ____ (c) Assuming the residuals are normally distributed, determine Sb1=____ (Round to four decimal places as needed.) (d) Assuming the residuals are...
Refer to the accompanying data set of mean​ drive-through service times at dinner in seconds at...
Refer to the accompanying data set of mean​ drive-through service times at dinner in seconds at two fast food restaurants. Construct a 95​% confidence interval estimate of the mean​ drive-through service time for Restaurant X at​ dinner; then do the same for Restaurant Y. Compare the results. Restaurant X Restaurant Y 85 102 125 130 115 149 141 111 265 174 185 138 126 113 151 123 165 131 212 127 337 137 311 139 176 226 117 218 161...
For the data set shown​ below, complete parts ​(a) through ​(d) below. x 20 30 40...
For the data set shown​ below, complete parts ​(a) through ​(d) below. x 20 30 40 50 60 y 102 95 91 83 70 ​ (a) Use technology to find the estimates of beta 0 and beta 1. beta 0 almost equals b0= ​ (Round to two decimal places as​ needed.) beta1 almost equals b1= (Round to two decimal places as​ needed.) (b) Use the technology to compute the standard error, the point estimate for o. Sc= (Round to four...
For the data set shown​ below, complete parts ​(a) through ​(d) below. x y 20 98...
For the data set shown​ below, complete parts ​(a) through ​(d) below. x y 20 98 30 95 40 89 50 85 60 72 (a) Use technology to find the estimates of Β0 and Β1. Β0 ≈ b0 = 112.6 ​(Round to two decimal places as​ needed.) Β1 ≈ b1 = -0.62 (Round to two decimal places as​ needed.) (b) Use technology to compute the standard​ error, the point estimate for σ. Se = __?__ ​(Round to four decimal places...
Refer to the accompanying data set of mean drive-through service times at dinner in seconds at...
Refer to the accompanying data set of mean drive-through service times at dinner in seconds at two fast food restaurants. Construct a 99% confidence interval estimate of the mean drive-through service time for restaurant X at dinner then do the same for restaurant Y Restaurant X Restaurant Y 83 101 119 131 116 155 143 111 263 174 178 135 122 111 154 123 166 128 215 128 328 131 303 136 179 230 109 217 154 296 149 126...
Refer to the accompanying data set of mean​ drive-through service times at dinner in seconds at...
Refer to the accompanying data set of mean​ drive-through service times at dinner in seconds at two fast food restaurants. Construct a 99​% confidence interval estimate of the mean​drive-through service time for Restaurant X at​ dinner; then do the same for Restaurant Y. Compare the results. Restaurant X      Restaurant Y 82           101 116         128 121         151 148         117 267         179 179         136 119         107 150         119 161         133 210         124 336         129 303         135 173         224 108         216 159         291...
Suppose we have the following paired observations of variables X and Y: X         Y 18        40...
Suppose we have the following paired observations of variables X and Y: X         Y 18        40 14        30 20        20 22        20             19        10             27        0 Calculate the values of the sample covariance and sample correlation between X and Y. Using this information, how would you characterize the relationship between X and Y?             (12 points) Suppose X follows a normal distribution with mean µ = 50 and standard deviation σ = 5. (10 points) What is the...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT