You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 car_retails
【Schema】
# Table: products
[
(productCode:TEXT, Primary Key, Examples: [S10_1678, S10_1949, S10_2016]),
(productName:TEXT, Examples: [1969 Harley Davidson Ultimate Chopper]),
(productLine:TEXT, Examples: [Motorcycles, Classic Cars, Trucks and Buses]),
(productScale:TEXT, Examples: [1:10, 1:12, 1:18]),
(productVendor:TEXT, Examples: [Min Lin Diecast]),
(productDescription:TEXT),
(quantityInStock:INTEGER, Examples: [7933, 7305, 6625]),
(buyPrice:REAL, Examples: [48.81, 98.58, 68.99]),
(MSRP:REAL, Examples: [95.7, 214.3, 118.94])
]
# Table: orderdetails
[
(orderNumber:INTEGER, Primary Key, Examples: [10100, 10101, 10102]),
(productCode:TEXT, Primary Key, Examples: [S18_1749, S18_2248, S18_4409]),
(quantityOrdered:INTEGER, Examples: [30, 50, 22]),
(priceEach:REAL, Examples: [136.0, 55.09, 75.46]),
(orderLineNumber:INTEGER, Examples: [3, 2, 4])
]
# Table: payments
[
(customerNumber:INTEGER, Primary Key, Examples: [103, 112, 114]),
(checkNumber:TEXT, Primary Key, Examples: [HQ336336, JM555205, OM314933]),
(paymentDate:DATE, Examples: [2004-10-19]),
(amount:REAL, Examples: [6066.78, 14571.44, 1676.14])
]
# Table: orders
[
(orderNumber:INTEGER, Primary Key, Examples: [10100, 10101, 10102]),
(orderDate:DATE, Examples: [2003-01-06]),
(requiredDate:DATE, Examples: [2003-01-13]),
(shippedDate:DATE, Examples: [2003-01-10]),
(status:TEXT, Examples: [Shipped, Resolved, Cancelled]),
(comments:TEXT),
(customerNumber:INTEGER, Examples: [363, 128, 181])
]
# Table: productlines
[
(productLine:TEXT, Primary Key, Examples: [Classic Cars, Motorcycles, Planes]),
(textDescription:TEXT),
(htmlDescription:TEXT),
(image:BLOB)
]
# Table: employees
[
(employeeNumber:INTEGER, Primary Key, Examples: [1002, 1056, 1076]),
(lastName:TEXT, Examples: [Murphy, Patterson, Firrelli]),
(firstName:TEXT, Examples: [Diane, Mary, Jeff]),
(extension:TEXT, Examples: [x5800, x4611, x9273]),
(email:TEXT),
(officeCode:TEXT, Examples: [1, 6, 4]),
(reportsTo:INTEGER, Examples: [1002, 1056, 1143]),
(jobTitle:TEXT, Examples: [President, VP Sales, VP Marketing])
]
# Table: offices
[
(officeCode:TEXT, Primary Key, Examples: [1, 2, 3]),
(city:TEXT, Examples: [San Francisco, Boston, NYC]),
(phone:TEXT, Examples: [+1 650 219 4782, +1 215 837 0825, +1 212 555 3000]),
(addressLine1:TEXT, Examples: [100 Market Street, 1550 Court Place, 523 East 53rd Street]),
(addressLine2:TEXT, Examples: [Suite 300, Suite 102, apt. 5A]),
(state:TEXT, Examples: [CA, MA, NY]),
(country:TEXT, Examples: [USA, France, Japan]),
(postalCode:TEXT, Examples: [94080, 02107, 10022]),
(territory:TEXT, Examples: [NA, EMEA, Japan])
]
# Table: customers
[
(customerNumber:INTEGER, Primary Key, Examples: [103, 112, 114]),
(customerName:TEXT, Examples: [Atelier graphique]),
(contactLastName:TEXT, Examples: [Schmitt, King, Ferguson]),
(contactFirstName:TEXT, Examples: [Carine , Jean, Peter]),
(phone:TEXT, Examples: [40.32.2555, 7025551838, 03 9520 4555]),
(addressLine1:TEXT, Examples: [54, rue Royale, 8489 Strong St., 636 St Kilda Road]),
(addressLine2:TEXT, Examples: [Level 3]),
(city:TEXT, Examples: [Nantes, Las Vegas, Melbourne]),
(state:TEXT, Examples: [NV, Victoria, CA]),
(postalCode:TEXT, Examples: [44000, 83030, 3004]),
(country:TEXT, Examples: [France, USA, Australia]),
(salesRepEmployeeNumber:INTEGER, Examples: [1370, 1166, 1611]),
(creditLimit:REAL, Examples: [21000.0, 71800.0, 117300.0])
]
【Foreign keys】
products.productLine=productlines.productLine
orderdetails.productCode=products.productCode
orderdetails.orderNumber=orders.orderNumber
payments.customerNumber=customers.customerNumber
orders.customerNumber=customers.customerNumber
employees.officeCode=offices.officeCode
employees.reportsTo=employees.employeeNumber
customers.salesRepEmployeeNumber=employees.employeeNumber

    【Question】
    For the productline where the product No.S18_2949 was produced, what's the text description for that product line?

    【Evidence】
    

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT t1.textDescription FROM productlines AS t1 INNER JOIN products AS t2 ON t1.productLine = t2.productLine WHERE t2.productCode = 'S18_2949'